ระยะไกล, TH
"About TuringBased in San Francisco California Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways first by accelerating frontier research with high-quality data advanced training pipelines plus top AI researchers who specialize in coding reasoning STEM multilinguality multimodality and agents and second by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably deliver measurable impact and drive lasting results on the P&L. Role Overview As an AI Quality Analyst you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations Gmail Google Search and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses evaluating dimensions like Grounding Integration and Helpfulness. Key Qualifications Chinese Proficiency Ability to read and write in Chinese with a high degree of comp as Chinese is the focus language for this project. Creative Prompt Engineering Experience in designing creative multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen Understanding of personalization concepts including the ability to identify incorrect personalization poor inferences and forced connections. Meticulous Attention to Detail The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication Superior ability to write clear concise and structured rationales for model rankings explicitly referencing specific turn numbers. Feedback Ability to provide constructive feedback and detailed annotations. Description Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Analyzing responses for Grounding issues ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful easy to use and enjoyable. Writing clear defensible rationales for your comparisons explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying ""Debug Info"" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history. Education & Experience BS/BA degree or equivalent experience in a relevant field (e.g. Policy Law Ethics Linguistics Journalism Computer Science or a related analytical field). Experience in data annotation AI quality evaluation content moderation or a related role is strongly preferred. Offer Details Commitments Required at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type Contractor Engagement Length 3 months Our offered rate for this project is $15 per hour. Evaluation Process Shortlisted candidates will be sent a Job Interest Form. After the profile review an assessment will be shared which must be completed within 24 hours. Based on the assessment outcomes shortlisted candidates will be contacted to discuss the pre‑onboarding requirements."
Remote United States
"About Turing Based in San Francisco California Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways first by accelerating frontier research with high-quality data advanced training pipelines plus top AI researchers who specialize in coding reasoning STEM multilinguality multimodality and agents and second by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably deliver measurable impact and drive lasting results on the P&L. Role Overview As an AI Quality Analyst you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations Gmail Google Search and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses evaluating dimensions like Grounding Integration and Helpfulness. Key Qualifications Chinese Proficiency Ability to read and write in Chinese with a high degree of comp as Chinese is the focus language for this project. Creative Prompt Engineering Experience in designing creative multi-turn starting prompts based on personal context to thoroughly test the model's capabilities. Strong Evaluation Acumen Understanding of personalization concepts including the ability to identify incorrect personalization poor inferences and forced connections. Meticulous Attention to Detail The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating. Excellent Written Communication Superior ability to write clear concise and structured rationales for model rankings explicitly referencing specific turn numbers. Feedback Ability to provide constructive feedback and detailed annotations. Description Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences. Analyzing responses for Grounding issues ensuring claims about you are supported by evidence and not flawed inferences or hallucinations. Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful easy to use and enjoyable. Writing clear defensible rationales for your comparisons explicitly referencing where issues or positive aspects occurred in the conversation. Extracting and verifying ""Debug Info"" from the model to confirm that chat summaries and data sources were properly utilized. Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history. Education & Experience BS/BA degree or equivalent experience in a relevant field (e.g. Policy Law Ethics Linguistics Journalism Computer Science or a related analytical field). Experience in data annotation AI quality evaluation content moderation or a related role is strongly preferred. Offer Details Commitments Required at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type Contractor Engagement Length 3 months Our offered rate for this project is $15 per hour. Evaluation Process - Shortlisted candidates will be sent a Job Interest Form. After the profile review an assessment will be shared which must be completed within 24 hours. Based on the assessment outcomes shortlisted candidates will be contacted to discuss the pre‑onboarding requirements."
Amsterdam, Netherlands / Berlin, Germany / London, United Kingdom / Belgium, Belgium / Croatia, Croatia / Munich / Warsaw, Poland
"Before jumping into all the information about the role and what you can bring to the table let us introduce ourselves real quick.About usInsider One is the #1 platform that brings everything marketing and customer engagement teams need in one place so they can reach their peak potential and become unstoppable. Our story began with six desks and a vision to create a single platform to make industry-first technologies and emerging channels accessible to marketers worldwide. Today Insider One is powered by 1500+ team members representing 50+ nationalities across 30+ offices. With AI at its core and an integrated Customer Data Platform (CDP) Insider One unites data personalization and journey orchestration across the most extensive set of natively supported channels including WhatsApp SMS Email Web App and Site Search. We recently raised one of the largest funding rounds in the industry a $500M Series E led by General Atlantic. We are backed by top-notch investors including Sequoia Capital QIA Riverwood and Endeavor Catalyst and trusted by 2000+ customers from high-growth startups to the most prestigious Fortune 500 companies such as Samsung Nike L’Oreal Singapore Airlines Nestlé Nissan Lenovo Puma IKEA Allianz Domino's and the list goes on.Insider One was congratulated for becoming one of the only woman-founded women-led B2B SaaS unicorns in the world. Loved by customers recognized by analysts we are the only vendor recognized as the #1 leader in all the capabilities marketing and customer engagement teams need. Don’t just take our word for it — see for yourself. We consistently outperform and continue our leadership and the results speak for themselves.From day one Insider One’s mission has not only been to build a world-class product company but also to create one of the most socially progressive technology communities in the world. Through our social responsibility initiatives like 100 Social Responsibility Projects AI Training for Teachers Code Academy SheCodes SheLeads and SheMarkables our community has committed to scaling its impact on our communities across 30+ countries driving initiatives in health education farming animal rights and increasing women’s representation in STEM.Behind all these achievements is an exceptionally talented visionary team of overachievers that moves fast and agile creating cutting-edge products and focuses on making an impact. If you want to be a part of this journey just keep reading.We are looking for a Product Manager who wants to make the dream a reality. What is our mission? We are visionaries who guide new product ideas. We are setting the vision for our growing family of products. We use data research strategy and empathy to guide development and design teams toward a common goal since we believe that only our products can alter Insider`s destiny. We are Insider’s innovators our impact starts on day one and our mission is to prove that break-through products can be created outside Silicon Valley. What are we offering? Impact be a part of a world-class product team where we constantly get challenged with new things and the results of our actions create an impact for hundreds of millions of users every day.Personal Growth work closely with experienced PMs get mentored by some of the best people in their fields join tons of different training like sales design customer communication. Develop the skills that you need to become a successful product manager.Experience get important responsibilities learn from your mistakes without getting blamed watch experienced people work on complex matters gain one of the most important things to become a great product manager experience.Delight make tough decisions release new features create innovating products which bring ease and joy to the life of many individuals who use them.Community surround yourself with great people who constantly help each other and push each other to be better join many different events and become a part of the Insider Community. What are we searching for? Leadership you can make decisions and set direction while motivating and inspiring people around you to follow you in that direction.Communication you serve as the diplomat of the team you can transmit complex information to different audiences clearly and you are talented in reaching the information you need on the people you are talking to.Problem Solving you are a natural-born problem solver finding solutions to complex problems motivates and excites you and at that moment when you solve the problem feeling that sense of accomplishment is worth all the effort.Teamwork you are easily able to work with people around you help them when they need give or take constructive feedback despite any personal conflict between you and them. Listening despite the fact that communicating effectively is extremely important you should also be able to gather information from many sources around you to help you make better-informed decisions on guiding and improving your products and services.Entrepreneurial Spirit rather than waiting to adapt to change you are actively seeking out change. You have a mindset that embraces critical questioning innovation and improvement. You can see the big picture you are willing to take risks you constantly seek new opportunities for innovation and you take ownership and pride in what you do. What are you going to do? ➡ As a Product Manager in Insider day in and day out you ➡ are going to be the person who is responsible for defining the why when and what of the products that the engineering team is building. This means you will be leading cross-functional teams with your communication starting from a product's ideation all the way through to its launch.will be responsible for building a product and strategy which reflects Insider`s vision. Your job is to clearly articulate the business value to the product team so they understand the intent behind the new product or product releasewill be defining the release process and coordinating all of the activities required to bring the product to marketwill be managing and prioritizing product items. You will be owning the creative process of generating developing and curating new ideas. You will be continuously benchmarking monitoring and understanding market needs and requirements competition customer/user requirements and emerging technologieswill be defining and analyzing the metrics to calculate how features or products are performing what is the level of customer satisfaction and provide suggestions for improvementswill always remember that building great products is invigorating. Successful products are built and adopted by customers when a group of committed focused and passionate team members play their positions to the best of their abilities. This starts with a strong product manager who feels a deep sense of responsibility for their role and a deep commitment to their team.So you are going to do your best to create great products that everybody loves. We want you to join us while we are taking a step into the future if you ➡ have 6+ years of Product Management experience preferably in a B2B SaaS producthave a Bachelor's Degree from a top-tier university preferably in Engineering Business Management or a related fieldhave hands-on experience in Agile Product Developmenthave hands-on experience in leading cross-functional teams and delivering projects on a time-bounded schedulehave a strong understanding of GenAI fundamentals (LLMs prompt engineering RAG fine-tuning hallucinations bias accuracy etc.)have worked with model APIs like OpenAI Claude or Mistralhave built or iterated on customer journeys using low-code/no-code tools and drag-and-drop automation platformshave the ability to assimilate customer requirements design appropriate solutions and translate requirements into detailed product specificationshave the ability to manage complex initiatives with limited supervisionare fluent in English and Turkish While exporting our technology to the world we offer you ➡ “Keynote Sessions” with famous and groundbreaking people from the software world and many events where groundbreaking ideas are discussed“PM Academy” in which experienced Insiders & our VP of Product talks about our best practices & share know-howProduct Training we organize inside that makes sure everyone is up-to-date about our products updates & so much moreFree access to the essentials such as Laracast Egghead LinkedIn Learning Blinkist Masterclass and SpotifyA chance to become a Shareowner with the ""Shareowner System"" that we offer to all Insiders who meet certain criteriaInclusive Private Health InsuranceSmart Work Model side benefits to support food and bill expensesThe infamous team activities that are bursting with funNo Dress code! This is a fast and innovative startup you can wear whatever you want. ➡ We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex race color nationality religion gender identity sexual orientation disability status citizenship or marital status.Please follow Insider One on LinkedIn Instagram X Facebook and Medium!"
Pakistan / Peshawar / Islamabad / Lahore / Karachi / Rawalpindi / Hyderabad, Pakistan
About Smart Working At Smart Working we believe your job should not only look right on paper but also feel right every day. We're one of the highest-rated workplaces on Glassdoor connecting exceptional professionals with outstanding global teams and products through long-term remote opportunities. Our mission is to break down geographical barriers and create meaningful career opportunities where talented individuals can thrive grow and make a genuine impact. When you join Smart Working you become part of a supportive and collaborative community that values integrity excellence continuous learning and professional growth. We provide the tools support and environment needed to help you succeed while enjoying the flexibility of a truly remote-first workplace. About the Role As an AI Agent Engineer you’ll build and scale production AI agents focusing on orchestration context engineering evaluation and observability. This is an AI agent engineering role rather than traditional ML model training. As the first dedicated hire you’ll work closely with the existing AI lead to shape the agent architecture tooling and technical direction while delivering measurable outcomes from day one. ➡ Responsibilities ➡ Build and evolve production AI agents on foundation models currently AWS Bedrock. Develop and evolve orchestration for production AI agents. Apply context engineering to production LLM and agent systems. Build and maintain evaluation datasets and pipelines including tool-selection trajectory and LLM-as-judge evaluations. Build and maintain production observability and monitoring for LLM and agent systems. Implement and work with tracing and instrumentation for production LLM systems. Work directly alongside the engineer currently leading the AI-agenting function as the first dedicated hire in this area. Apply strong agent-architecture fundamentals to help inform whether the existing custom orchestration layer should be retained or a production framework adopted. Work as part of a new three-person product team alongside the AI function lead and a Full Stack Engineer. Operate as an individual contributor working alongside the AI function lead rather than managing others. Take ownership of measurable deliverables immediately upon onboarding. Deliver similar AI/agent engineering work against roadmap timelines. Requirements ➡ 2+ years of experience building production LLM agents including tool-calling agent loops streaming context management structured outputs and orchestration frameworks. Production experience with an agentic framework such as LangGraph LangChain or custom orchestration. There is no fixed orchestration framework requirement strong agent-architecture fundamentals and production experience with any agentic framework are in scope. - 1.5+ years of experience with evaluation-driven development including building and maintaining evaluation datasets and pipelines covering tool selection trajectory evaluation and LLM-as-judge. 1+ year of experience with LLM observability tracing and instrumentation using Langfuse OpenTelemetry or similar tooling. Genuine production agent-observability exposure. Direct hands-on Langfuse experience is strongly preferred because this is a confirmed skill gap within the team OpenTelemetry or other tracing tools are acceptable only as a secondary signal alongside real agent-observability exposure. - 1+ year of experience with LLM cost optimisation including prompt caching model selection and routing and LLM FinOps. 5+ years of backend engineering proficiency including TypeScript/Node Postgres and serverless AWS. Proven experience delivering similar work on similar timelines. Experience shipping agentic AI systems to production with the ability to speak to concrete failure modes and mitigations and operate end-to-end across the AI stack. Nice to Have ➡ 1+ year of AWS Bedrock experience. Equivalent production experience with other foundation-model providers including OpenAI Anthropic API Azure OpenAI or Vertex AI is fully transferable. 1+ year of experience with AI safety and guardrails including prompt-injection screening output validation and handling untrusted input. 6+ months of familiarity with MCP and multi-agent patterns. Familiarity with geospatial data. Benefits ➡ Fixed Shifts 1130 AM - 900 PM PKT (Summer) 1230 PM - 1000 PM PKT (Winter) No Weekend Work Real work-life balance not just words Day 1 Benefits Laptop and assets provided Support That MattersMentorship community and forums where ideas are shared True Belonging A long-term career where your contributions are valued ➡
India / Ahmedabad / Bangalore / Delhi NCR / Pune / Mumbai / Hyderabad
About Smart Working At Smart Working we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong no matter where you are. From day one you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time long-term roles. We help you discover meaningful work with teams that invest in your success where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role We’re looking for a Senior Full Stack / Applied AI Engineer to join a small high-impact team working at the intersection of product engineering and AI-driven solutions. This is not a traditional full-stack role. It’s a highly autonomous product-focused position where you’ll take ownership from idea to production working across backend frontend architecture and AI-enabled features. You’ll operate in a fast-paced low-process environment translating ambiguous stakeholder needs into working solutions while balancing rapid delivery with long-term quality. You’ll work across both improving an existing Python-based application and building new AI-powered solutions often prototyping and shipping within short timeframes. This role requires strong engineering judgment a proactive mindset and the ability to bring structure and best practices into an evolving environment. ➡ Responsibilities ➡ Translate ambiguous stakeholder requirements into structured solutions user flows and deliverables Design system architecture making decisions around scalability maintainability and security Build and deliver end-to-end features across frontend and backend with full ownership Rapidly prototype AI-enabled solutions and evolve them into production-ready systems Improve and scale an existing Python-based application addressing backlog performance and UX gaps Define and implement UX flows and usability improvements (not visual design but user journeys) Integrate with APIs including AI-driven services and design robust data flows Apply secure development practices and ensure systems are reliable and maintainable Balance speed of delivery with long-term engineering quality and structure Contribute to and elevate engineering practices (architecture SDLC testing) through hands-on work Collaborate with stakeholders and team members while operating with a high degree of independence Requirements ➡ Strong experience with Python (5+ years) in production environments Proven experience in system design and architecture (5+ years) including making trade-offs Hands-on experience with AI-assisted development tools (e.g. Codex Claude or similar) in real workflows Strong experience integrating APIs including AI or data-driven services (3+ years) Solid frontend experience with React and modern JavaScript/HTML (3+ years or equivalent frameworks) Experience owning features or products end-to-end from concept to delivery (3+ years) Strong understanding of SDLC engineering best practices and code quality standards Experience working in ambiguous environments and shaping requirements independently Proven ability to prototype quickly and deliver at pace (2+ years) Strong stakeholder communication skills and ability to translate business needs into technical solutions (5+ years) Good understanding of UX flows and usability principles (2+ years) Experience working with databases and data modelling (3+ years) Understanding of secure development practices (3+ years) Experience handling data pipelines or ETL processes (2+ years) High ownership mindset with the ability to operate independently in a low-structure environment Nice to Have ➡ Experience working in small high-autonomy teams without dedicated QA or BA support Exposure to building AI-powered products or LLM-based workflows in production Experience improving engineering maturity (architecture testing SDLC) within teams Familiarity with rapid prototyping tools and experimentation environments Strong product mindset with the ability to balance user needs business goals and technical constraints Benefits ➡ Fixed Shifts 1200 PM - 930 PM IST (Summer) 100 PM - 1030 PM IST (Winter) No Weekend Work Real work-life balance not just words Day 1 Benefits Laptop and full medical insurance provided Support That Matters Mentorship community and forums where ideas are shared True Belonging A long-term career where your contributions are valued 5-Day AI Training Hands-on AI Academy onboarding to get you building with AI from day one ➡ At Smart Working you’ll never be just another remote hire. Be a Smart Worker - valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.
Delhi / Chennai / Noida / Gurugram / Mohali / Indore / Jaipur
About Smart Working At Smart Working we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong no matter where you are. From day one you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time long-term roles. We help you discover meaningful work with teams that invest in your success where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role We’re looking for a Senior Full Stack AI Engineer to join a small high-impact team working at the intersection of product engineering and AI-driven solutions. This is not a traditional full-stack role. It’s a highly autonomous product-focused position where you’ll take ownership from idea to production working across backend frontend architecture and AI-enabled features. You’ll operate in a fast-paced low-process environment translating ambiguous stakeholder needs into working solutions while balancing rapid delivery with long-term quality. You’ll work across both improving an existing Python-based application and building new AI-powered solutions often prototyping and shipping within short timeframes. This role requires strong engineering judgment a proactive mindset and the ability to bring structure and best practices into an evolving environment. ➡ Responsibilities ➡ Translate ambiguous stakeholder requirements into structured solutions user flows and deliverables Design system architecture making decisions around scalability maintainability and security Build and deliver end-to-end features across frontend and backend with full ownership Rapidly prototype AI-enabled solutions and evolve them into production-ready systems Improve and scale an existing Python-based application addressing backlog performance and UX gaps Define and implement UX flows and usability improvements (not visual design but user journeys) Integrate with APIs including AI-driven services and design robust data flows Apply secure development practices and ensure systems are reliable and maintainable Balance speed of delivery with long-term engineering quality and structure Contribute to and elevate engineering practices (architecture SDLC testing) through hands-on work Collaborate with stakeholders and team members while operating with a high degree of independence Requirements ➡ Strong experience with Python (5+ years) in production environments Proven experience in system design and architecture (5+ years) including making trade-offs Hands-on experience with AI-assisted development tools (e.g. Codex Claude or similar) in real workflows Strong experience integrating APIs including AI or data-driven services (3+ years) Solid frontend experience with React and modern JavaScript/HTML (3+ years or equivalent frameworks) Experience owning features or products end-to-end from concept to delivery (3+ years) Strong understanding of SDLC engineering best practices and code quality standards Experience working in ambiguous environments and shaping requirements independently Proven ability to prototype quickly and deliver at pace (2+ years) Strong stakeholder communication skills and ability to translate business needs into technical solutions (5+ years) Good understanding of UX flows and usability principles (2+ years) Experience working with databases and data modelling (3+ years) Understanding of secure development practices (3+ years) Experience handling data pipelines or ETL processes (2+ years) High ownership mindset with the ability to operate independently in a low-structure environment Nice to Have ➡ Experience working in small high-autonomy teams without dedicated QA or BA support Exposure to building AI-powered products or LLM-based workflows in production Experience improving engineering maturity (architecture testing SDLC) within teams Familiarity with rapid prototyping tools and experimentation environments Strong product mindset with the ability to balance user needs business goals and technical constraints Benefits ➡ Fixed Shifts 1200 PM - 930 PM IST (Summer) 100 PM - 1030 PM IST (Winter) No Weekend Work Real work-life balance not just words Day 1 Benefits Laptop and full medical insurance provided Support That Matters Mentorship community and forums where ideas are shared True Belonging A long-term career where your contributions are valued 5-Day AI Training Hands-on AI Academy onboarding to get you building with AI from day one ➡ At Smart Working you’ll never be just another remote hire. Be a Smart Worker - valued empowered and part of a culture that celebrates integrity excellence and ambition. If that sounds like your kind of place we’d love to hear your story.
Asia / Taiwan, Taipei
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security user fund transparency trading engine speed deep liquidity and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education research payments institutional services Web3 features and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Binance is looking for a research-minded engineer to join the AI Infra team — sitting at the intersection of frontier model capabilities and real-world agent deployment. You'll work directly with researchers and engineers to push the boundaries of what AI agents can do from Agentic RAG and context management to task execution self-evolving agents and multi-agent coordination. This is not a pure engineering role and not a pure research role. It's both. You'll be expected to generate original ideas run experiments ship prototypes and iterate fast based on real user feedback. The best candidate is someone who has already internalized agent tools into their daily workflow and has strong opinions about model behavior. ➡ Responsibilities ➡ Agentic RAG & Engineering Design and operate next-generation retrieval pipelines — moving beyond static retrieve-once patterns to adaptive self-correcting and multi-hop retrieval workflows architect Agentic RAG systems with dynamic retrieval control query decomposition iterative retrieve-reflect-refine loops and multi-agent retrieval collaboration Frontier Harness Collaborate deeply with researchers and engineers to define and implement model-capability-driven innovations — including context management long-term memory subagent and multi-agent architectures self-evolving agents and real-word task execution Benchmarking & Evaluation Propose harness-domain and RAG-domain benchmarks and evaluation methodologies construct benchmark datasets define annotation strategies and systematically measure and improve agent intelligence across domains — including retrieval efficiency latency groundedness and task success rate Real-world Feedback Loops Leverage multi-channel user feedback and real-world task data as primary research signals design experiments and datasets to continuously improve agent and retrieval performance in production scenarios Requirements ➡ 1+ Year hands-on experience with LLM RAG and AI agent systems in production RAG & Agentic RAG Engineering Hands-on experience building production retrieval pipelines end-to-end — embedding models (BGE OpenAI etc.) vector stores (Qdrant Milvus Pinecone Weaviate) hybrid search (keyword + vector) reranking models deep understanding of chunking strategy text cleaning and multimodal data parsing experience implementing Agentic RAG patterns — Self-RAG Corrective RAG adaptive retrieval multi-hop decomposition retrieve-reflect-refine loops Agent Harness Engineering — hands-on experience with Agent Harness runtimes (Pi Agent AgentScope 2.0 or equivalent orchestration frameworks) session recovery sandbox isolation middleware/hook systems multi-tenant runtime plan/execute loops and retrieval-grounded tool calling LLM & Agent Fundamentals Deep familiarity with LLM and agent mechanisms — LLM APIs KV Cache Agent Loop Tool Use Reasoning Planning Skills MCP Memory Subagent Multi-Agent strong grasp of Prompt Engineering Context Engineering Independent Research Capability Can analyze ambiguous problems from first principles generate original ideas and drive research from 0 to 1 able to rapidly translate ideas into runnable prototypes with tight experiment iteration loops Heavy Agent User Power user of agent products (coding agents general-purpose agents) agent tools are already integrated into your daily work and life you have taste and judgment about model behavior AI-native Engineering Proficient in vibe coding — ships fast using AI-assisted workflows across unfamiliar languages frameworks and domains strong learning velocity in software development Nice to Have Deep hands-on experience with agent products such as Claude Code OpenClaw Cowork Manus or equivalent — already integrated into your workflow or daily life RAG evaluation Experience with RAGAS TruLens or custom benchmarking pipelines for retrieval quality groundedness and latency profiling GraphRAG / knowledge graph-augmented retrieval experience Experience with Pi Agent AgentScope 2.0 or other Agent Harness middleware composition multi-tenant session management plugin architecture sandbox backends Background in model training RLHF or model–system co-design LiteLLM / multi-provider proxy experience Kubernetes/EKS pod isolation resource management secrets handling Security engineering prompt injection defense sandbox hardening guardrail design Nice to Have ➡ Deep hands-on experience with agent products such as Claude Code OpenClaw Cowork Manus or equivalent — already integrated into your workflow or daily life RAG evaluation Experience with RAGAS TruLens or custom benchmarking pipelines for retrieval quality groundedness and latency profiling GraphRAG / knowledge graph-augmented retrieval experience Experience with Pi Agent AgentScope 2.0 or other Agent Harness middleware composition multi-tenant session management plugin architecture sandbox backends Background in model training RLHF or model–system co-design LiteLLM / multi-provider proxy experience Kubernetes/EKS pod isolation resource management secrets handling Security engineering prompt injection defense sandbox hardening guardrail design ➡ Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application you confirm that you have read and agree to our Candidate Privacy Notice.
Cambridge, MA
At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework shared services such as memory guardrails vector search SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration RAG pipelines prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows you will evaluate agentic frameworks such LangGraph AutoGen Semantic Kernal CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK CLI and starter kits that let AI engineers spin up secure observable agentic workflows in under minutes shrinking prototyping to production timelines by 30%. Trust and safety remain paramount you will help bring together a vision of central guardrail services - prompt firewalls content-filter hooks red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching retrieval caching heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory multimodal guardrails multimodal RAG. You’ll own central Helm charts operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours mentoring Staff Principal and Senior engineers authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain CrewAI Semantic Kernel (Microsoft) or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI Amazon SageMaker Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C# Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
McLean, VA
At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework shared services such as memory guardrails vector search SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration RAG pipelines prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows you will evaluate agentic frameworks such LangGraph AutoGen Semantic Kernal CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK CLI and starter kits that let AI engineers spin up secure observable agentic workflows in under minutes shrinking prototyping to production timelines by 30%. Trust and safety remain paramount you will help bring together a vision of central guardrail services - prompt firewalls content-filter hooks red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching retrieval caching heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory multimodal guardrails multimodal RAG. You’ll own central Helm charts operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours mentoring Staff Principal and Senior engineers authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain CrewAI Semantic Kernel (Microsoft) or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI Amazon SageMaker Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C# Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
New York, NY
At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework shared services such as memory guardrails vector search SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration RAG pipelines prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows you will evaluate agentic frameworks such LangGraph AutoGen Semantic Kernal CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK CLI and starter kits that let AI engineers spin up secure observable agentic workflows in under minutes shrinking prototyping to production timelines by 30%. Trust and safety remain paramount you will help bring together a vision of central guardrail services - prompt firewalls content-filter hooks red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching retrieval caching heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory multimodal guardrails multimodal RAG. You’ll own central Helm charts operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours mentoring Staff Principal and Senior engineers authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain CrewAI Semantic Kernel (Microsoft) or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI Amazon SageMaker Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C# Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).