San Jose, CA
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 currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native at-scale (15000+ users at destination) enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. 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 Design develop test deploy and support AI software components including foundation model training large language model inference similarity search guardrails model evaluation experimentation governance and observability etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters Huggingface VectorDBs Nemo Guardrails PyTorch and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability cost latency throughput — of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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) 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 Passion for staying on top of the latest AI research and AI systems and judiciously apply novel techniques in production Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers 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. Remote (Regardless of Location) $244700 - $279200 for Distinguished AI Engineer 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).
San Francisco, CA
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 currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native at-scale (15000+ users at destination) enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. 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 Design develop test deploy and support AI software components including foundation model training large language model inference similarity search guardrails model evaluation experimentation governance and observability etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters Huggingface VectorDBs Nemo Guardrails PyTorch and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability cost latency throughput — of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown 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) 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 Passion for staying on top of the latest AI research and AI systems and judiciously apply novel techniques in production Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers 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. Remote (Regardless of Location) $244700 - $279200 for Distinguished AI Engineer 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 Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build orchestrate and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer a hands-on technical leader passionate about distributed systems to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages popular distributed compute frameworks including Spark / Dask / Ray / Flink container (e.g. Kubernetes) and serverless (e.g. AWS Lambda) runtime environments and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role you will Architect and build control and data plane implementations required to realize a highly available multi-tenant large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends experimenting with and learning new technologies participating in internal & external technology communities and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications Bachelor's degree in Computer Science AI Electrical Engineering Computer Engineering or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies or a Master's degree in Computer Science AI Electrical Engineering Computer Engineering or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python Go Scala or Java Preferred Qualifications Master’s Degree in Computer Science or a Master’s Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training fine-tuning or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS EC2 UltraClusters Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects 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. Remote (Regardless of Location) $286200 - $326700 for Sr. Distinguished AI Engineer Cambridge MA $314800 - $359300 for Sr. Distinguished AI Engineer McLean VA $314800 - $359300 for Sr. Distinguished AI Engineer New York NY $343400 - $392000 for Sr. Distinguished AI Engineer Richmond VA $286200 - $326700 for Sr. Distinguished AI Engineer San Francisco CA $343400 - $392000 for Sr. Distinguished AI Engineer San Jose CA $343400 - $392000 for Sr. 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).
Role Technical Recruiter (Remote) Location Remote (Work from Anywhere) Job Type Full-Time Payout $160K - $300K/yr Role Overview This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing screening and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions. Key Responsibilities • Design implement and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency. • Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis. • Integrate Zara with applicant tracking systems HR databases and third-party job platforms via APIs. • Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. • Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Required Skills & Qualifications • Proficiency in Python including experience with machine learning frameworks like TensorFlow or PyTorch. • Strong background in natural language processing including experience with libraries such as spaCy or Hugging Face. • Experience building and deploying scalable AI systems in production environments. • Familiarity with cloud platforms (AWS GCP or Azure) and containerization tools like Docker. • Knowledge of SQL and NoSQL databases for data extraction and integration. • Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. • Experience with RESTful APIs and microservices architecture. • Background in data pipeline development and ETL processes. More About the Opportunity This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background experience or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!
EngRadar / Thorn Senior Software Engineer Thorn Thorn is a nonprofit that builds technology to protect children from sexual exploitation and abuse. Remote Remote (US-Based) Posted today Apply directly → At Thorn our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core—a shared code that drives us to do challenging work with resilience and determination. Here you’ll work and grow among the best hearts and the best minds in tech data and business alongside our network of independent partners NGOs and law enforcement agencies. Together we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You'll collaborate with a diverse group of peers in a remote environment centered on wellness care and compassion. In 2019 we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe curious and happy. About The Role Our Victim Identification team builds and owns tools that empower global law enforcement partners to combat child sexual abuse. As a Senior Engineer you take ownership of significant features and system components bringing expertise to a core area of the system and contributing meaningfully to how our systems are designed built and maintained. In this role you independently deliver complex projects within a defined scope apply sound technical judgment to design and implementation decisions and ensure high standards of quality reliability and performance in support of Thorn’s mission. You partner closely with Product and Engineering to translate goals into well-scoped technical solutions and execute them successfully. Through strong collaboration and thoughtful ownership you help raise the bar for quality within your team and contribute to the health and effectiveness of your team’s systems. What You’ll Do Collaborate with engineers on your team to build and maintain scalable systems and applications from end-to-end. Take on complex features and projects independently. You gather input from teammates break down problems and communicate progress clearly to stakeholders. Lead technical discussions within your team partnering closely with Build and Product to define requirements and arrive together at practical high-quality approaches. Develop solutions to problems faced by our users clearly articulating tradeoffs and decisions to stakeholders across technical and non-technical audiences and incorporating feedback into iterative improvements. Apply sound design and implementation judgment within your area of ownership contributing to system reliability scalability and sustainability. Play a critical role in day-to-day coding thorough code reviews and troubleshooting production issues including participating in on-call rotations to support system reliability and incident response. Identify technical risks within your work and raise them early collaborating with teammates to address issues before they become larger constraints. Strengthen your team by sharing expertise offering thoughtful feedback mentoring teammates within your domain and stepping in to help when needed. Contribute to improving team practices and documentation supporting a culture of learning and continuous improvement. What We’re Looking For You have a commitment to putting the children we serve at the center of everything you do. You have experience building and maintaining production-ready software systems. You demonstrate strong problem-solving skills and apply sound design and implementation judgment within your area of ownership. You are nimble and comfortable working within evolving requirements adapting your approach and breaking down problems to deliver high-quality solutions. You take pride in writing clear maintainable code and maintaining a high bar for quality and craftsmanship. You clearly articulate technical decisions and tradeoffs and incorporate feedback thoughtfully into your work. You identify risks and edge cases in your work and proactively raise concerns. You communicate clearly efficiently and thoughtfully. We’re a highly-distributed team and effective written communication is crucial for everything from Slack to code reviews. Technologies We Use Python3 TypeScript / React/ Ant Design AWS / Terraform Docker / Kubernetes Elasticsearch / PostgreSQL Datadog Compensation And Benefits A reasonable estimate of the compensation range for this role is $129000-$178250/year . This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to location skill sets experience and training licensure and certifications. Our remote-first work model is structured around working from home most of the time. But there will be times that employees are expected to travel. For example Thorn may host company-wide gatherings and smaller teams may hold in-person meetings and team-building events or require attendance at specific conferences. At Thorn we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Thorn can mean for you. Thorn is strengthened by the wide range of experiences and perspectives on our team. We value the diversity of our professional backgrounds subject matter expertise cultures and perspectives because they help us solve complex problems and serve our mission more effectively. We hire based on merit qualifications and organizational need and we are committed to fostering an inclusive environment where all employees can thrive. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. Thorn is committed to the full inclusion of all qualified individuals. We provide reasonable accommodations to ensure candidates and employees with disabilities can fully participate in the application process perform essential job functions and access all the benefits and privileges of employment. If you need an accommodation please contact us at hiring@wearethorn.org Know Your Rights Workplace discrimination is illegal Posted by Thorn on their own careers page — you apply directly no recruiter in between. View original / apply → More at Thorn T Senior Machine Learning Engineer Thorn Thorn is a nonprofit that builds technology to protect children … Remote Remote (US-Based Some Travel Required) 28d ago T Staff Engineer Thorn Thorn is a nonprofit that builds technology to protect children … Remote Remote (US-Based) 8d ago T Support Engineer Thorn Thorn is a nonprofit that builds technology to protect children … Remote Remote (US-Based) 2mo ago Apply directly → Browse Full-Stack Jobs
Camp Springs, MD
Location 100% Remote Travel Ability to be onsite in Camp Springs MD for project support as needed Years’ Experience 10+ Years of experience Education Bachelor’s Degree Required Clearance Applicants must be able to obtain and maintain a Public Trust security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance. Key Skills Must have experience designing complex technical solutions Professional expertise in development DevSecOps AI/ML engineering and technical architecture including designing and deploying enterprise cloud applications with AI/ML on AWS Currently possess or ability to obtain an AWS Solutions Architect Certification – Associate or Professional certification Responsibilities Design comprehensive technical solutions that address complex business challenges and identify architectural improvements across multiple technology domains. Evaluate and optimize solution architectures to improve performance security and cost-effectiveness of technology implementations. Collaborate with data scientists machine learning engineers and development teams to architect integrated solutions while providing technical leadership and implementation guidance. Support business development and account growth by contributing solution architecture expertise to pipeline development and strategic planning initiatives. Participate in strategic planning sessions focused on solution portfolio expansion and enterprise growth objectives. Provide solution architecture guidance and technical advisory services to ensure secure complaint and well-integrated technology implementations. Engage directly with senior government executives to present solution architectures provide technical consultation and serve as a trusted advisor on complex technology initiatives. Qualifications 10+ years of experience in development DevSecOps AI/ML engineering and technical architecture including 3+ years in designing and deploying enterprise cloud applications with AI/ML on AWS. Bachelor’s degree in computer science Data Science or IT related field. Must be able to obtain and maintain the required Public Trust security clearance. AWS Solutions Architect Certification - Associate or Professional (Preferred or ability to obtain). Must have solution architecture experience with expertise in translating complex business requirements into scalable technical designs and guide cross-functional teams through implementation. Hands-on experience architecting unified analytics platforms using Databricks for large-scale data processing machine learning workflows and collaborative data science initiatives. Experience leading application modernization initiatives including decomposition of monolithic systems legacy platform decommissioning and migration to service-oriented or microservices architectures. Experience designing and implementing real-time data streaming architectures using Apache Kafka or other types of message brokers for high-throughput fault-tolerant event processing and data pipeline integration. Experience architecting search and analytics solutions using the Elastic stack and/or Amazon OpenSearch. Background in software development and are proficient in solution architecture patterns including microservices event-driven architecture and can provide guidance on architecture pattern selection and best practices.
Mexico City, Mexico
This position is open to candidates based in Mexico Argentina Colombia Guatemala and Brazil only. Company Overview At Avahi we’re redefining what it means to be a premier cloud-first consulting company recognized for our people culture and innovative solutions. With expertise in Managed Services Staffing and Professional Services we are dedicated to delivering exceptional value and putting customers first. As a remote-first global team spanning North America Europe and Southeast Asia we foster a collaborative and diverse environment where professional growth creativity and mutual respect thrive. Guided by our values—Customer-Centricity Collaboration Agility Innovation Integrity and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. Role Summary Avahi is seeking an accomplished AWS Cloud Architect to lead the design implementation and management of customer projects. This role is critical in driving successful migration modernization and DevOps initiatives. As the primary technical leader you’ll guide customer consultations create innovative proofs of concept (POCs) and shape our technical strategies. If you are passionate about AWS solutions and thrive in a collaborative fast-paced environment this role is perfect for you. Key Responsibilities Customer Engagement Act as the primary technical leader in customer calls leading technical discussions and presenting solutions. Project Delivery Support DevOps migration and modernization projects by delivering high-quality technical outcomes. Project Management Work with PMs to create detailed project backlogs and roadmap to ensure successful project delivery. Technical Escalation Serve as a hands-on escalation point for complex technical issues during project execution. Mentorship Guide team members on AWS solutions migration strategies and best practices fostering skill development. Migration Leadership Leverage deep cloud migration experience to ensure seamless transitions to AWS from on-premises environments. Solution Design Design and implement innovative solutions remaining hands-on throughout project lifecycles. Continuous Improvement Stay updated on AWS offerings DevOps tools and emerging technologies to drive innovation. Qualifications Certifications AWS Professional and specialty certifications are highly desirable. AWS Expertise Extensive hands-on experience with AWS services including EC2 S3 RDS Lambda CloudFormation EKS and ECS. Proven Success Track record of leading successful AWS migration and modernization projects. DevOps Proficiency Strong experience with Kubernetes Docker and CI/CD tools (e.g. GitHub Actions AWS CodeSuite CircleCI). Infrastructure as Code Hands-on experience with IaC tools like Terraform or CloudFormation. Framework Knowledge Familiarity with the AWS Well-Architected Framework and its best practices. Problem-Solving Strong ability to troubleshoot and resolve complex technical issues. Communication Skills Excellent written and verbal communication abilities. Presentation Skills Able to present technical solutions and demos to internal and external stakeholders. Bonus Qualifications Experience with Data Machine Learning or AI technologies. Passion for contributing to open-source tools and communities. Knowledge of advanced AWS services or emerging technologies. Why Work Here Remote-First Flexibility Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere. Innovative Culture We embrace a startup mindset encouraging creativity agility and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions. Career Development Avahi is committed to your growth offering mentorship and opportunities to advance your career. Purpose-Driven Mission Join us in making a difference. Avahi is dedicated to championing diversity supporting women in tech and fostering sustainable practices. Global Collaboration Work alongside a diverse talented team sharing insights and collaborating to create innovative solutions that make a real impact. Join Avahi and make an impact in a fast-paced customer-focused environment with abundant opportunities for growth. Accessibility and Inclusivity Statement At Avahi we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds experiences and perspectives including those from underrepresented communities. We are proud to be an equal opportunity employer providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process please let us know and we will work to meet your needs.
We are looking for a Senior Platform Engineer to join our team and drive the administration governance and automation of our Data Lake and Azure Databricks platforms. Your work will play a key role in building scalable secure and efficient solutions that support SAP's cloud operations enterprise analytics and machine learning initiatives. Unlock the potential of remote work in Kazakhstan giving you the flexibility to work from home or access our offices in Astana Almaty or Karaganda. Responsibilities Administer and manage Azure Data Lake Storage Gen2 and Databricks workspaces Implement and enforce access management policies leveraging RBAC and Entra ID Apply Databricks governance concepts including Unity Catalog access control and data lineage Develop automation scripts and integrate with REST APIs to configure and monitor the platform Ensure platform operational health by monitoring incident response and troubleshooting Collaborate with global stakeholders to establish platform standards and governance frameworks Optimize platform performance and resolve technical issues effectively Document processes best practices and guidelines for platform usage Contribute to the design and enhancement of the data lake infrastructure to support evolving business needs Requirements 3+ years of professional experience in Platform Engineering or related roles Strong experience with Microsoft Azure specifically Azure Data Lake Storage Gen2 and Azure Databricks Knowledge of Azure access management techniques such as RBAC and Entra ID Background in Databricks governance with expertise in Unity Catalog's catalog management access control and data lineage Advanced skills in Python for scripting and automation Proficiency in working with REST APIs for platform configuration and administration Understanding of DevOps principles including incident management monitoring and operational health Experience in enterprise-grade environments with distributed globally diverse teams Competency in analyzing and solving complex technical challenges with attention to detail English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Experience with Agile methodologies including Scrum or SAFe Background in Databricks workspace configuration job orchestration and cluster policy management Showcase of contributions to platform standards governance solutions or shared automation resources Familiarity with infrastructure-as-code tools such as Terraform or ARM templates Understanding of CI/CD workflows and DevOps toolchain implementation We offer We connect like-minded people + Delivering innovative solutions to industry leaders making a global impact + Enjoyable working environment whether it is the vibrant office or the comfort of your own home + Opportunity to work abroad for up to two months per year + Relocation opportunities within our offices in 55+ countries + Corporate and social events We invest in your growth + Leadership development career advising soft skills and well-being programs + Certifications including GCP Azure and AWS + Unlimited access to EPAM's internal learning database + Free English classes with certified teachers + Discounts in local language schools including online courses for the Kazakh language We cover it all + Participation in the Employee Stock Purchase Plan + Monetary bonuses for engaging in the referral program + Medical & family care package + Six trust days per year (sick leave without a medical certificate) + Coverage of psychology sessions of your choice + Benefits package (sports activities a variety of stores and services) + Housing support program preferential mortgage access via Otbasy Bank partnership EPAM is global leader in AI transformation engineering and integrated consulting serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software product and platform engineering we empower our clients to become AI-Native enterprises driving measurable value from innovation and digital investments.
Dubai, Dubai, United Arab Emirates
This is a remote position however you will also have access to an office for team gatherings and planning sessions as needed. Due to the requirements of UAE customers this position requires being physically located in the UAE. In-person interviews will be required. About SailPoint SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide giving our customers unmatched visibility into the entirety of their digital workforce ensuring workers have the right access to do their job – no more no less. Built on a foundation of AI and ML our Identity Security Cloud Platform Atlas delivers the right level of access to the right identities and resources at the right time—matching the scale velocity and changing needs of today’s cloud-oriented modern enterprise. About the role As a Senior DevOps Engineer you will be a key player on the Infrastructure and Platform Services team servicing the Identity Security Cloud platform. You will be responsible for DevOps work in our UAE region. You will proactively work with Engineering Product Services and other functional departments to implement and operate our global customer-facing SaaS infrastructure. The ideal candidate will be a self-starter who enjoys a fast-paced job thrives on problem solving and is committed to delivering seamless product availability to large enterprises around the world. You will be a member of the UAE DevOps team that performs data store operations and DevOps work for our product running in the UAE region. You will work closely with Software Engineers and DevOps Engineers alike. You will partner with leaders at all levels across the organization on making our product work while meeting data sovereignty requirements. Due to the requirements of UAE customers this position requires being physically located in the UAE. About the team The UAE DevOps team will work together to implement maintain and support our SailPoint products in the UAE region in AWS. The team will provide hands on implementation and support in AWS in the UAE region for our SaaS products. Roadmap for success Within first 30 days Onboard into your new role get familiar with our product offering and technology proactively meet peers and stakeholders set up your test and development environment. Begin working on projects and improvements we have planned By 90 days Collaborate on projects with team members and other teams Be fully integrated with the team join the on-call rotation to support our product Become an expert on how the SailPoint ISC product operates By 6 months Own and implement projects to successfully operate on data stores in an environment with restricted access Become a subject matter expert on the data stores used for our products Independently handle any on-call incidents Collaborate with other teams to securely bring new features and services into production in the UAE region Proactively meet standards for information security and compliance (suach as ISO SOC SSAE 16 etc.) Requirements Background & Experience Experience in 24x7 production operations preferably supporting a highly available environment for a SaaS or cloud service provider Experience with cloud infrastructure environments preferably AWS Experience with Kubernetes and tools like ArgoCD Experience deploying and maintaining databases and distributed data stores MySQL PostgreSQL Redis Elasticsearch Cassandra S3 DynamoDB Kafka Experience with Machine Learning and data tools such as Apache Airflow and Flink Release automation (Jenkins etc) system administration system configuration and system debugging experience Experience using scripting languages (Python Bash PowerShell etc.) and infrastructure-as-code tools (Terraform) Strong understanding of system and networking concepts and troubleshooting techniques Strong interpersonal and teaming skills - ability to set and enforce process and influence engineers who are not direct reports. Ability to operate in an agile entrepreneurial start-up environment. Education (preferred not required) Bachelor's degree in Computer Science or other technical discipline or equivalent experience SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability protected veteran status or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr Suite 100 Austin TX 78726 to discuss reasonable accommodations. NOTE Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.
EngRadar / Upstart Principal Software Engineer Pricing Platform Upstart Upstart is a leading AI lending marketplace that partners with banks to expand access to affordable credit using advanced AI and over 1800 signals per borrower. Remote United States Remote Posted today fintechlendingai Apply directly → About Upstart At Upstart we’re united by a mission that matters to radically reduce the cost and complexity of borrowing for all Americans. Every day we bring creativity experimentation and advanced AI to reshape access to credit helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3000 signals powering smarter fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea every voice and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first giving most Upstarters the flexibility to do their best work from wherever they thrive alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites planning sessions and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus Austin the Bay Area or New York City (opening Summer 2026) you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems excited to innovate with purpose and motivated by work that truly matters we’d love to hear from you. The Team Upstart's Core Pricing team drives key initiatives that directly influence our revenue streams unit economics and product strategy. The team builds and evolves the common systems used to translate underwriting insights into accurate risk and profitability decisions for every loan we originate while enabling a seamless borrower experience across products. As a Principal Software Engineer on Core Pricing you will provide technical leadership that spans engineering machine learning and product organizations — not just the Pricing team. You will shape the long-term architecture strategy and operating model for pricing systems that serve multiple product lines and stakeholders across the company. Working in close partnership with engineering ML product and business leaders across Personal Loans Auto HELOC and adjacent platforms you will lead the development of scalable low-latency highly reliable services that convert ML underwriting outputs into pricing decisions and you will help define the future of Upstart's pricing platform as the company expands into new products markets and capabilities. Our stack spans Python (Django FastAPI Celery) Kotlin/Spring Boot gRPC/Protobuf Temporal for workflow orchestration AWS (S3 RDS/Postgres ElastiCache) Kubernetes/Helm and Datadog for observability. How You'll Make An Impact Define the cross-company technical vision and roadmap for Upstart's pricing platform ensuring alignment across Pricing Personal Loans Auto HELOC ML and Product organizations. Lead the architectural evolution from tightly coupled sequential workflows toward modular reusable platform capabilities across loan products. Design and improve Tier 0/Tier 1 services where latency throughput availability and financial correctness are all critical. Partner closely with machine-learning scientists and engineers to create reliable scalable boundaries between models and production pricing systems. Balance the sometimes-competing needs of engineering machine learning and product teams across organizations making pragmatic trade-offs that serve Upstart's broader technical and business strategy. Clarify service API configuration and ownership boundaries across Pricing Personal Loans Auto HELOC and adjacent platform teams. Evaluate runtime and language choices pragmatically including where Python Kotlin Rust or Go best serve long-term system needs. Reduce operational burden through better testing observability failure isolation incident learning and architecture that limits blast radius. Lead company-wide technical discussions surface trade-offs clearly and build alignment across Engineering ML Product Data Security Compliance and business partners. Stay close to implementation through design reviews prototypes and critical code while mentoring senior technical leaders and making the people around you more successful. Prioritize technical-debt and platform investments based on business value risk reduction and long-term return rather than technical elegance alone. Minimum Qualifications Bachelor's degree in Computer Science Engineering Mathematics or a related field - or equivalent practical experience - plus 8 or more years of software engineering experience. A track record of setting architecture and technical direction for large complex distributed systems used across multiple teams or products. Deep backend engineering experience and production proficiency in at least one of Python Kotlin or Java willingness and ability to work effectively in a predominantly Python environment. Experience designing or operating Tier 0/Tier 1 services with demanding latency throughput availability and correctness requirements. Strong understanding of APIs service-oriented or modular architectures containerization cloud infrastructure (e.g. AWS) and maintainable software design. Hands-on technical judgment you can move from strategy and architecture into concrete designs prototypes debugging and critical implementation decisions. Strong communication skills and the ability to explain complex systems constraints and trade-offs to technical and nontechnical audiences. Demonstrated success leading cross-organization technical decisions — balancing the needs of engineering machine learning and product teams — and influencing without direct authority. Experience mentoring senior engineers and expanding the effectiveness and scope of other technical leaders. Strong product and business judgment including the ability to balance delivery reliability technical debt risk and long-term investment. Preferred Qualifications Experience building calculation-heavy real-time decisioning pricing marketplace risk fraud payments trading auction or advertising systems. Experience partnering with machine-learning teams or productionizing models at scale including clear boundaries between modeling workflows and production services. Experience modernizing a mature or tightly coupled platform through staged migration while continuing to deliver customer and business value. Experience with AWS Kubernetes microservices event-driven systems and production observability. Additional production experience with Rust or another performance-oriented language. Background or applied exposure in statistics mathematics economics econometrics financial systems or other quantitative domains. Experience in a rapidly scaling or changing organization where architecture had to evolve alongside the business. Position location Remote Travel requirements As a digital first company the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role most teams meet once or twice per quarter for 2-4 consecutive days at a time. At Upstart your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition Upstart provides employees with target bonuses equity compensation and generous benefits packages (including medical dental vision and 401k). United States Remote - Anticipated Base Salary Range $195300—$270400 USD What You'll Love At Upstart our benefits are designed to support your health financial well-being family and personal growth. Here’s what you can expect Competitive compensation including base pay bonus opportunities and annual equity grants that vest quarterly Retirement benefits to help you plan for the future including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed up to $15000 annually (USD in the US CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family including medical dental vision and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits including life insurance and disability coverage for added financial security Paid time off sick leave and company holidays in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility parenthood and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work no matter where you work from Connection and community through team events all-company updates and employee resource groups (ERGs) Onsite perks including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area Austin Columbus and New York City (opening Summer 2026!) For roles based in Canada please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please email candidateaccommodations@upstart.com https//www.upstart.com/candidateprivacypolicy Posted by Upstart on their own careers page — you apply directly no recruiter in between. View original / apply → More at Upstart U Affidavit Support Specialist Upstart Upstart is a leading AI lending marketplace that partners with b… Columbus OH USA fintechlending 16d ago U Analyst Loan Salability & First-Line Model Governance Upstart Upstart is a leading AI lending marketplace that partners with b… Remote United States Remote fintechlending 1mo ago U Applied Scientist Upstart Upstart is a leading AI lending marketplace that partners with b… Remote United States Remote fintechlending 2mo ago U Applied Scientist Upstart Upstart is a leading AI lending marketplace that partners with b… Remote United States Remote fintechlending 25d ago Apply directly → Browse Full-Stack Jobs
unlock: sign-up for free / login and use the searches from your home page
🔥 job listings updated in real time
For the 10 positions listed above we've analyzed the salary ranges, where available, and the resulting overall salary range is: 129K - 326.7K USD.
For 85 similar AWS Machine Learning position(s) we've listed yesterday we've checked the salary ranges, as posted, and the resulting overall range is: 80K - 500K USD.
For 3,513 similar AWS Machine Learning position(s) we've listed in the previous 30 days we've processed the salary ranges data as posted by employers in job descriptions and the resulting overall range is: 64K - 500K USD.
View highest-paying jobNote: If any discrepancies or 'wild' numbers appear this could be because of: typos in job postings, data source errors, ghost jobs, etc. We do not modify salary data inserted in JDs by employers nor use estimates.
Login & search by other job titles, a specific location or any keyword.
Additional custom search filters are available once you login.