Explore our

large collection of remote & hybrid jobs

Most companies promote just 30% of their open vacancies on job boards because it's expensive to advertise jobs.

We find the remaining 70% of hidden jobs directly on companies' websites. 6x/day.

We list them so you can very fast identify new opportunities and get a job hunting advantage.

We also parse global job boards, so you can search across simultaneously.

Find hidden remote jobs 🚀

100k+

Remote Jobs

600k+

Hybrid/On-site Jobs

128k+

Companies Hiring

115

Countries

More Details and Stats

133,849 remote jobs

Machine Learning Engineer II - Behavioral Security Products

Carbon Data Solutions

Remote South Africa

"Required skills Behavioral Security Products Abnormal AI is looking for a Machine Learning Engineer to join the Account Takeover Detection team. At Abnormal we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. Abnormal is recognized as a top cybersecurity startup (Leader in the 2024 Gartner Magic Quadrant for Email Security Platforms) securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024. Our 100% YoY growth in annual recurring revenue highlights the trust our behavioral AI system has earned in protecting over 20+% of the Fortune 500. We continue to grow and innovate to stay ahead of the evolving threat landscape. About the Role In a landscape where a single successful attack can lead to financial losses of millions of dollars the Account Takeover team (ATO) is at the forefront of customer protection playing a central role in building systems that can detect malicious activity and protect customers from account takeovers. The Account Takeover Detection team’s mission is to leverage cutting-edge machine learning technologies for proactive detection and prevention of account takeover attempts continuously improving ATO capabilities to stay ahead of evolving fraud patterns and safeguard user accounts with unparalleled accuracy and efficiency This role offers the opportunity to contribute significantly to our team's charter direction and roadmap by defining technical goals addressing customer problems maintaining production models and ensuring operational excellence. The ideal candidate will have a background in machine learning data science and software engineering with the ability to design develop and implement robust machine learning models and systems in production.&nbsp What you will do <ul> <li>Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.</li> <li>Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions.</li> <li>Conduct exploratory data analysis feature engineering model development and evaluation.</li> <li>Work with infrastructure &amp product engineers to productionize models and new ML-based features</li> <li>Monitor and improve production models through feature engineering rules and ML modeling as part of a team effort.</li> <li>Participate in code reviews to ensure the quality and maintainability of ML systems.</li> <li>Stay updated on the latest research in the field of machine learning data science and AI.</li> <li>Adopt and contribute to the development of machine learning best practices within the organization.</li> </ul> Must Haves <ul> <li>Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).</li> <li>Knowledge of machine learning algorithms statistics and predictive modeling.</li> <li>Proficiency with Python and machine learning toolkits like pandas scikit-learn and optionally. pytorch/tensorflow.</li> <li>Awareness of machine learning operations (MLOps) and productionization of ML models best practise..&nbsp</li> <li>Familiarity with building data and metric generation pipelines using tools like SQL or Spark to answer business questions and assess system efficacy.</li> <li>Ability to communicate technical ideas in a clear non-technical manner.</li> </ul> Nice to Have <ul> <li>Familiarity with LLMs</li> <li>Previous experience in Cybersecurity</li> <li>Previous experience with Airflow or similar ML pipeline orchestration tools&nbsp</li> <li>Experience with large scale ML system and data infrastructure</li> <li>Previous experience in behavioural modeling techniques</li> <li>PhD or equivalent proven experience in ML research</li> <li>Familiarity with cloud computing platforms (AWS Azure</li> </ul> LI-ML1<div class""content-conclusion"">A note on AI in our process&nbsp Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further if your application is successful and Abnormal AI makes a conditional offer of employment we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status or other characteristics protected by law. For our EEO policy statement please <a href""https//assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt9cbda641db7c0045/6a1e3d3a66aea075cd33e462/AAPandEEOStatement.pdf"" target""blank"">click here</a>. If you would like more information on your EEO rights under the law please&nbsp<a href""https//assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt4eb3a265cc7b1ca9/6a1e3d3bfe33e73c16ff026b/EEOCKnowYourRightsOct302025.pdf"" target""blank"">click here</a>.</div> Find Jobs in United Kingdom on Arbeitnow"

6 min(s). ago 🔥 View

Data Engineer (all genders)

Carbon Data Solutions

Remote South Africa

Required skills Data Engineering Cloud Engineering Snowflake Databricks ETL Python Azure AWS What you can expect from us We’re a high‑energy cloud- and data engineering team looking for like-minded motivated tech builders. We are driven by ownership and business outcomes. As the analytics unit within a global management consultancy we turn data-driven strategies into production systems. Our clients are DAX and Fortune Global 500 leaders who trust us for our expertise across data platforms big data and cloud engineering. You’ll join an international environment with agile squads and a boutique spirit with room to experiment and grow paired with above‑market compensation and an attractive benefits package. What you’ll do as part of our cloud- and data engineering team Take ownership for projects end to end From scoping to stakeholder alignment and the delivery of measurable outcomes Design data architectures for batch and streaming workloads both at small and big data scales Provision and manage the underlying cloud infrastructure to support those architectures on providers such as AWS Azure or GCP Building Python ETL/ELT pipelines orchestrated with Airflow Dagster or Prefect. Work with data lake technologies and optimize (OLAP) data ware-/lakehouses Model and store data across SQL and NoSQL databases as well as optimizing performance and costs Create web APIs with popular Python frameworks (e.g.FastAPI and Flask) and describe them using standards likeOpenAPI/Swagger Automate deployments using Infrastructure-as-Code and container technologies such as Docker Kubernetesor OpenShift Who you are A passionate data engineer who loves being at the forefront of modern AI-driven technology but also cares about the engineering craftmanship. Relevant hands-on experience with a cloud hyperscaler (preferably AWSAzure or GCP). Preferably experience building production-grade software. Python development with idiomatic and well-tested code. Skilled in performance tuning and optimization of relational databases (e.g. through indexingshardingor partitioning). Experienced with data workflow orchestration tools (e.g. Apache AirflowDagsteror Prefect). Competent with large-scale data processing and modern analytics stacks (e.g. Apache Spark Snowflakedbt or similar technologies). Proficient with containerization and container orchestration (e.g. Docker Kubernetes or similar technologies). Excellent German language skills (C1) and conversational English skills Customer-centric results-driven and willing to occasionally travel to clients. Who we are Shape the future with AI by working on diverse and impactful projects at the intersection of strategy technology and business. Work flexibly in a way that suits your life – with hybrid working models flexible working hours and the option to work from home. Enjoy an open collaborative culture with flat hierarchies an international team and colleagues who are always willing to share their knowledge and support one another. A Great Place to Grow Benefit from tailored learning opportunities individualized career paths and dedicated support for your professional and personal development. Be part of a strong international network of more than 1300 colleagues and enjoy regular cross-office and international company events. Maintain a healthy work-life balance with flexible working models and where appropriate the opportunity to take a sabbatical. Take advantage of our Company Bike program and a subsidized EGYM Wellpass membership to support your health and wellbeing. Work from modern centrally located offices in Hamburg Munich and Düsseldorf as well as flexible hub locations across Germany's major cities. Enjoy complimentary drinks fresh fruit snacks premium coffee – and if you like an after-work beer with your colleagues. Thrive in an environment built on trust ownership and continuous growth where your ideas are valued regardless of your role or level of seniority ContactPaulina Krzeminski Lead Group Recruiting Consultant - Data & AI E M +49 151 422 09 376 Our top priority is that you fit us and we fit you regardless of origin nationality sexual orientation religion gender identity age handicap or other aspects of diversity. Our dedicated HR Team will be happy to provide you with further information and is looking forward to receiving your CV and / or your complete and expressive Linked in / Xing profile. Are you interested in what our employees and other applicants say about us? Visit us on Kununu and follow us on social media to not miss the latest news about us. Eraneos Germany als Arbeitgeber Gehalt Karriere Benefits (kununu.com) Find Jobs in Germany on Arbeitnow

7 min(s). ago 🔥 View

IT Controls Data Engineer

Carbon Data Solutions

Remote South Africa

Required skills IT IT About the Team The IT and Security organization builds the systems data foundations and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity access infrastructure security enterprise systems and internal productivity. As OpenAI grows audit readiness and control assurance increasingly depend on reliable data accurate system inventories access populations change records configuration state exception signals and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products automated validation and continuous control monitoring that make security and IT controls measurable repeatable and defensible. About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness IT controls evidence automation and continuous control monitoring. In this role you will design and maintain the pipelines datasets models validation logic dashboards and evidence exports that make IT controls measurable repeatable and defensible. You will work across Security IT Infrastructure Engineering Finance Risk Management and auditors to turn complex system behavior into reliable control data products. This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering comfortable working with enterprise and security system data and able to explain data lineage source-system behavior and control logic clearly to technical and audit stakeholders. You’ll be responsible for Building reliable data pipelines models and datasets for IT controls including access identity configuration change ticketing exception and evidence data. Creating data quality lineage reconciliation and completeness checks that make control data defensible for SOX and other audit use cases. Designing automated evidence generation workflows that produce complete accurate and repeatable audit populations exports dashboards and control artifacts. Developing control monitoring logic to detect drift missing evidence stale access direct system changes overdue activity and other control exceptions. Partnering with Security IT Infrastructure Engineering Risk Management and system owners to understand source systems validate data and improve automation reliability. Translating technical system behavior data flows access models and validation results into clear explanations for auditors control owners and technical stakeholders. We’re looking for someone with Strong data engineering analytics engineering or software/data systems experience including building reliable datasets pipelines queries dashboards or automated reporting workflows. Hands-on SQL experience and proficiency with at least one scripting or programming language such as Python. Experience working with enterprise system data such as identity platforms HR systems ticketing systems cloud environments source control systems SaaS applications or audit/compliance tooling. Strong understanding of data modeling lineage completeness accuracy reconciliation validation observability and repeatability. Ability to reason through messy source-system data inconsistent identifiers nested groups stale records missing owners direct assignments and downstream application drift. Experience supporting security IT controls SOX audit readiness risk compliance or regulated technology environments. Ability to explain technical systems data flows and control logic clearly to both engineering and audit stakeholders. Strong ownership judgment and attention to detail in high-stakes time-sensitive environments. Nice to have Experience with Entra ID Workday GitHub Databricks Salesforce or similar platforms. Experience with cloud infrastructure environments such as Azure AWS or GCP. You might thrive in this role if You like turning messy operational processes into clean repeatable systems. You enjoy working at the intersection of data controls engineering and audit. You can go deep technically but also explain your work clearly to auditors and executives. You care about evidence quality data integrity and defensible documentation. You are energized by building automation that reduces manual effort and improves control reliability. You can partner with engineers without slowing them down while still maintaining a strong control standard. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity. We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic. For additional information please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment protect computer hardware entrusted to you from theft loss or damage return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment and maintain the confidentiality of proprietary confidential and non-public information. In addition job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

7 min(s). ago 🔥 View

Senior ML Engineer (AI Research/ Portability)

Carbon Data Solutions

Remote South Africa

"Required skills ML <div class""content-intro"">About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers for engineers. From large-scale GPU orchestration to inference optimization we own the hard problems across compute storage networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam we have a global footprint with R&ampD hubs across Europe the UK North America and Israel. Our team of 1500+ includes hundreds of engineers with deep expertise across hardware software and AI R&ampD.</div><h1 id""The-role"" data-local-id""e35932cc95ec"" data-renderer-start-pos""1"">The role</h1> This role is for Nebius AI R&ampD a team focused on applied research in AI. Our Portability research aims to make intelligent agent systems work reliably as models providers harnesses skills memory systems and deployment environments change. We build and evaluate portable layers that preserve capability context identity provenance and user control across heterogeneous systems. Research areas include <ul class""ak-ul"" data-local-id""e47e962bada7"" data-indent-level""1""> <li> Per-turn model routing across quality cost latency capability cache state and reliability objectives </li> </ul> <ul class""ak-ul"" data-local-id""a428d18883d6"" data-indent-level""1""> <li> Provider and protocol portability across frontier models open-source models local inference and compatible APIs </li> </ul> <ul class""ak-ul"" data-local-id""ed3af8596580"" data-indent-level""1""> <li> Agent and harness interoperability including transferable skills capability profiles actions tools and trajectories </li> </ul> <ul class""ak-ul"" data-local-id""d7d4e9da70dd"" data-indent-level""1""> <li> Portable user-owned memory and context with scoped identity provenance retrieval feedback and reviewable compaction </li> </ul> <ul class""ak-ul"" data-local-id""d08c3e7c616b"" data-indent-level""1""> <li> Agent interchange standards conformance testing tool and MCP access and agent-to-agent communication </li> </ul> <ul class""ak-ul"" data-local-id""58269caf38f2"" data-indent-level""1""> <li> Agent and harness optimization through evaluation distillation customization and multi-agent learning </li> </ul> You will design and build research prototypes and robust systems at the seams between models providers and agent runtimes. You will formulate research questions develop evaluation methods test ideas in realistic agent workflows and turn promising results into reusable components. The work will often involve collaboration with adjacent research infrastructure security product and engineering teams where findings are validated and applied in practice. <h1 id""We-are-currently-looking-for-senior-and-staff-level-ML-engineers-to-work-on-research-in-areas-such-as"" data-local-id""c4864614dbc5"" data-renderer-start-pos""1590"">We are currently looking for senior- and staff-level ML engineers to work on research in areas such as</h1> <ul class""ak-ul"" data-local-id""3023e0e271b6"" data-indent-level""1""> <li> Learned rule-based and hybrid model routing cascading and candidate-ranking systems </li> </ul> <ul class""ak-ul"" data-local-id""baef09316c07"" data-indent-level""1""> <li> Quality-cost-latency trade-offs uncertainty estimation exploration and outcome-aware routing </li> </ul> <ul class""ak-ul"" data-local-id""012e28d58b87"" data-indent-level""1""> <li> Multi-provider gateways protocol translation catalog normalization and fail-closed execution contracts </li> </ul> <ul class""ak-ul"" data-local-id""a5e332c3f8d2"" data-indent-level""1""> <li> Portable agent skills harness capability discovery package adaptation and cross-harness conformance </li> </ul> <ul class""ak-ul"" data-local-id""84e66462713a"" data-indent-level""1""> <li> Memory identity context trajectory and outcome representations that remain portable across agents and models </li> </ul> <ul class""ak-ul"" data-local-id""9c965baff03a"" data-indent-level""1""> <li> Retrieval context selection context compaction and feedback systems with explicit provenance and trust boundaries </li> </ul> <ul class""ak-ul"" data-local-id""3e48747501fc"" data-indent-level""1""> <li> Agent interoperability standards including metadata action formats plugins tools MCP and agent-to-agent interfaces </li> </ul> <ul class""ak-ul"" data-local-id""c2278d35936d"" data-indent-level""1""> <li> Agent optimization teacher-student distillation skill generation harness customization and multi-agent learning </li> </ul> <ul class""ak-ul"" data-local-id""2e5f22876f4a"" data-indent-level""1""> <li> Benchmarking and evaluation infrastructure for model router memory skill and harness changes </li> </ul> <h1 id""Some-examples-of-what-your-responsibilities-might-include-are"" data-local-id""ebd0755d94ad"" data-renderer-start-pos""2697"">Some examples of what your responsibilities might include are</h1> <ul class""ak-ul"" data-local-id""f8068663e1eb"" data-indent-level""1""> <li> Designing implementing training and evaluating model routers that select an appropriate model or reasoning profile for each turn </li> </ul> <ul class""ak-ul"" data-local-id""8a15aa6a4fc7"" data-indent-level""1""> <li> Developing portable provider and protocol abstractions that preserve authentication telemetry cache and context signals and execution provenance </li> </ul> <ul class""ak-ul"" data-local-id""4a3eb41d33bd"" data-indent-level""1""> <li> Defining versioned schemas and contracts for models provider offers agents workspaces skills actions tools memories and trajectories </li> </ul> <ul class""ak-ul"" data-local-id""57107cf2b602"" data-indent-level""1""> <li> Building systems that discover package adapt and validate agent skills across coding agents editors and other harnesses </li> </ul> <ul class""ak-ul"" data-local-id""16abe137833c"" data-indent-level""1""> <li> Researching user-owned memory scoped identity trajectory checkpoints terminal outcomes retrieval quality and reviewable context compaction </li> </ul> <ul class""ak-ul"" data-local-id""d65272637462"" data-indent-level""1""> <li> Creating benchmark suites and evaluation protocols for quality cost latency reliability safety and portability </li> </ul> <ul class""ak-ul"" data-local-id""5cd8d97926b2"" data-indent-level""1""> <li> Designing held-out out-of-domain and change-impact evaluations that test new or removed models providers skills and harness versions </li> </ul> <ul class""ak-ul"" data-local-id""a8e4c8894548"" data-indent-level""1""> <li> Investigating distillation self-improving harnesses multi-agent training agent factories and automated skill creation </li> </ul> <ul class""ak-ul"" data-local-id""ba52a39de1c2"" data-indent-level""1""> <li> Writing robust research software APIs integration layers and test infrastructure that enable rapid but reproducible experimentation </li> </ul> <ul class""ak-ul"" data-local-id""ffa65a7c79df"" data-indent-level""1""> <li> Collaborating across research and engineering teams to translate promising ideas into secure reversible and reliable systems </li> </ul> <ul class""ak-ul"" data-local-id""61a217e16fac"" data-indent-level""1""> <li> Communicating results through technical reports demonstrations open-source releases benchmarks and research publications </li> </ul> <h1 id""We-expect-you-to-have"" data-local-id""2647a3f5e8ca"" data-renderer-start-pos""4269"">We expect you to have</h1> <ul class""ak-ul"" data-local-id""621c33ac726f"" data-indent-level""1""> <li> A profound understanding of machine learning large language models or statistical decision-making </li> </ul> <ul class""ak-ul"" data-local-id""fc8b2a073a5b"" data-indent-level""1""> <li> Deep expertise in at least one relevant area such as model routing recommender systems agent systems retrieval and memory model evaluation distributed systems or protocol and API design </li> </ul> <ul class""ak-ul"" data-local-id""0a2544bc8a48"" data-indent-level""1""> <li> Experience building and evaluating modern language-model or agentic systems including tool use and multi-turn workflows </li> </ul> <ul class""ak-ul"" data-local-id""9c021f89220b"" data-indent-level""1""> <li> Experience designing executing and analyzing machine learning experiments with appropriate statistical rigor </li> </ul> <ul class""ak-ul"" data-local-id""fcc76e889fc7"" data-indent-level""1""> <li> Ability to formulate meaningful research questions design experiments that test clear hypotheses and draw defensible conclusions </li> </ul> <ul class""ak-ul"" data-local-id""91fbbd2e3aee"" data-indent-level""1""> <li> Understanding of evaluation leakage held-out testing out-of-domain generalization uncertainty and reproducibility </li> </ul> <ul class""ak-ul"" data-local-id""bdb3d5796122"" data-indent-level""1""> <li> Strong software-engineering and algorithm-design skills excellent Python skills and the ability to work across production systems </li> </ul> <ul class""ak-ul"" data-local-id""171449f73536"" data-indent-level""1""> <li> Experience with APIs data schemas distributed services testing observability code review and CI/CD </li> </ul> <ul class""ak-ul"" data-local-id""14ceb991ff39"" data-indent-level""1""> <li> Ability to reason about security privacy provenance permissions failure modes and user control in agent systems </li> </ul> <ul class""ak-ul"" data-local-id""9bcc746ae880"" data-indent-level""1""> <li> Experience implementing research ideas and iterating quickly across modeling data systems and evaluation </li> </ul> <ul class""ak-ul"" data-local-id""16b6f7273e49"" data-indent-level""1""> <li> Strong communication and technical leadership abilities including collaboration across research and engineering disciplines and clear documentation of findings in technical reports or research publications </li> </ul> <h1 id""Nice-to-have"" data-local-id""114eb3a82bf8"" data-renderer-start-pos""5790"">Nice to have</h1> <ul class""ak-ul"" data-local-id""bf4d83e4a4d0"" data-indent-level""1""> <li> Experience with model routers cascades mixture-of-experts systems recommenders or cost-aware inference </li> </ul> <ul class""ak-ul"" data-local-id""36caeecc475f"" data-indent-level""1""> <li> Experience integrating multiple model providers or inference stacks including OpenAI-compatible APIs Anthropic-style APIs local inference or open-source serving systems </li> </ul> <ul class""ak-ul"" data-local-id""2618dc2990b1"" data-indent-level""1""> <li> Familiarity with agent harnesses coding agents editor integrations function calling tool execution MCP or agent-to-agent protocols </li> </ul> <ul class""ak-ul"" data-local-id""ca8ee4ba02e0"" data-indent-level""1""> <li> Experience with retrieval systems vector search knowledge graphs temporal data memory architectures or context management </li> </ul> <ul class""ak-ul"" data-local-id""aa428df615cf"" data-indent-level""1""> <li> Experience with benchmark suites for coding reasoning factuality instruction following tool use or multi-turn agent workflows </li> </ul> <ul class""ak-ul"" data-local-id""7a953309e6a3"" data-indent-level""1""> <li> Experience with teacher-student distillation reinforcement learning preference learning reward modeling or automated skill generation </li> </ul> <ul class""ak-ul"" data-local-id""46269ee05d7c"" data-indent-level""1""> <li> Proficiency in TypeScript Go Rust or another systems language in addition to Python </li> </ul> <ul class""ak-ul"" data-local-id""7a962a841de2"" data-indent-level""1""> <li> Experience with secure authentication sandboxing privacy-preserving telemetry provenance or policy-enforced execution </li> </ul> <ul class""ak-ul"" data-local-id""824991ef91ba"" data-indent-level""1""> <li> Experience building distributed data-processing evaluation model-training or inference systems </li> </ul> <ul class""ak-ul"" data-local-id""7939de3e06ec"" data-indent-level""1""> <li> A PhD in Computer Science Machine Learning Artificial Intelligence or a related technical field or equivalent practical experience </li> </ul> <ul class""ak-ul"" data-local-id""fb897fe24bf9"" data-indent-level""1""> <li> A track record of impactful publications open-source contributions or deployed AI systems </li> </ul> <ul class""ak-ul"" data-local-id""173929efa8fd"" data-indent-level""1""> <li> A record of building and delivering products or research prototypes in a dynamic startup-like environment </li> </ul> <ul class""ak-ul"" data-local-id""0aa7f959086d"" data-indent-level""1""> <li> Passion for making advanced AI systems composable inspectable user-controlled and resilient to changing models and platforms </li> </ul> <ul class""ak-ul"" data-local-id""ca1b8dd31bb2"" data-indent-level""1""> <li> Excellent command of English with strong technical writing presentation and communication skills </li> </ul> <ul class""ak-ul"" data-local-id""aa62074454fe"" data-indent-level""1""> <li> Proficiency in contemporary software-engineering practices including version control testing code review and CI/CD </li> </ul><div class""content-conclusion"">Benefits &amp Perks <ul> <li>Competitive compensation</li> <li>Career growth and learning opportunities</li> <li>Flexibility and ownership</li> <li>Collaborative and innovative culture</li> <li>Opportunity to work on impactful AI projects</li> <li>International environment and talented teams</li> </ul> What's it like to work at Nebius Fast moving&nbsp- Bold thinking&nbsp- Constant growth&nbsp- Meaningful impact&nbsp- Trust and real ownership&nbsp- Opportunity to shape the future of AI&nbsp Equal Opportunity Statement Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race color religion sex (including pregnancy) national origin ancestry age disability genetic information marital status veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.&nbsp If you need accommodations during the application process please let us know.</div> Find Jobs in United Kingdom on Arbeitnow"

8 min(s). ago 🔥 View

Senior ML Engineer (AI Research, Physical AI)

Carbon Data Solutions

Remote South Africa

"Required skills ML <div class""content-intro"">About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers for engineers. From large-scale GPU orchestration to inference optimization we own the hard problems across compute storage networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam we have a global footprint with R&ampD hubs across Europe the UK North America and Israel. Our team of 1500+ includes hundreds of engineers with deep expertise across hardware software and AI R&ampD.</div><h3 id""The-role"" data-local-id""56e0c79db6b1"" data-renderer-start-pos""1"">The role</h3> This role is for Nebius AI R&ampD a team focused on applied research in AI. Our Physical AI research aims to build intelligent agents that can perceive reason and act in the physical world. Research areas include <ul class""ak-ul"" data-local-id""b201d55e-9630-42b8-a3e6-6366f9d7aa7b"" data-indent-level""1""> <li> Vision-language-action models for general-purpose robotic control </li> <li> Reinforcement and imitation learning from human demonstrations simulation and real-world experience </li> <li> Scalable collection generation and curation of multimodal embodied data </li> <li> Simulation world models and sim-to-real transfer </li> <li> Multimodal sensing including vision touch force and proprioception </li> </ul> You will modify large foundation models and learning algorithms for robotic agents prototype new capabilities in simulation and validate promising approaches on real-world systems. The results will often lead to collaboration with adjacent research infrastructure and engineering teams where findings are scaled and applied in practice. We are currently looking for senior- and staff-level ML engineers to work on research in areas such as <ul class""ak-ul"" data-local-id""2bdd11b4-ceac-4819-8cb0-f5d0ed796404"" data-indent-level""1""> <li> Vision-language-action models and multimodal foundation models for robotics </li> <li> Reinforcement learning imitation learning and learning from demonstrations </li> <li> Scalable acquisition and generation of human robot and simulated interaction data </li> <li> World models planning and model-based control </li> <li> Sim-to-real transfer domain adaptation and robust policy evaluation </li> <li> Dexterous manipulation whole-body control and general-purpose robotic agents </li> </ul> Some examples of what your responsibilities might include are <ul class""ak-ul"" data-local-id""1a3b57bf-356e-484f-8c7d-10071076da9e"" data-indent-level""1""> <li> Designing implementing training and evaluating large models and learning algorithms for robotic agents </li> <li> Developing vision-language-action architectures that connect multimodal perception and language understanding with physical control </li> <li> Investigating reinforcement learning and imitation learning methods for sparse delayed or difficult-to-verify objectives </li> <li> Building scalable methods for incorporating demonstrations teleoperation data video simulation trajectories and autonomous robot experience into foundation models </li> <li> Designing capture methodologies datasets evaluation protocols and data-quality pipelines for embodied learning </li> <li> Developing simulation environments and conducting sim-to-real experiments on physical robotic platforms </li> <li> Exploring planning guided generation and search over action trajectories </li> <li> Prototyping new capabilities in areas such as dexterous manipulation mobile manipulation and whole-body control </li> <li> Writing robust research software and distributed training infrastructure that enable rapid experimentation </li> <li> Collaborating with research and engineering teams to translate promising ideas into reliable real-world systems </li> <li> Communicating results through technical reports open-source releases demonstrations and research publications </li> </ul> We expect you to have <ul class""ak-ul"" data-local-id""c48d5038-9ea2-4496-8079-80e9dd7267d0"" data-indent-level""1""> <li> A profound understanding of the theoretical foundations of machine learning reinforcement learning or robot learning </li> <li> Deep expertise in at least one relevant area such as reinforcement learning imitation learning multimodal generative modeling computer vision robotics planning or control </li> <li> Experience training and evaluating modern deep learning models including transformer-based or multimodal foundation models </li> <li> Substantial experience training large models across multiple computational nodes </li> <li> Strong software engineering and algorithm-design skills we primarily use Python </li> <li> Deep experience with a modern deep learning framework we primarily use JAX </li> <li> Experience designing executing and analyzing machine learning experiments with appropriate statistical rigor </li> <li> Ability to formulate meaningful research questions design experiments that test clear hypotheses and draw defensible conclusions </li> <li> Experience implementing research ideas and iterating quickly across modeling data infrastructure and evaluation </li> <li> Strong communication and leadership abilities including the ability to collaborate across research and engineering disciplines </li> <li> Ability to document research findings clearly and contribute to technical reports or research publications </li> </ul> Nice to have <ul class""ak-ul"" data-local-id""82adb5f9-6e72-4406-a43f-33df64a89ac1"" data-indent-level""1""> <li> Experience working with real-world robots and robotic simulation environments </li> <li> Experience with dexterous manipulation whole-arm manipulation mobile manipulation or humanoid robotics </li> <li> Experience with multimodal sensing including tactile force-torque depth and proprioceptive signals </li> <li> Experience collecting human demonstrations through teleoperation motion capture wearable devices or observation </li> <li> Experience developing or post-training vision-language models vision-language-action models or video and world models </li> <li> Experience with deep reinforcement learning techniques such as offline RL actor-critic methods PPO reward modeling preference learning or model-based RL </li> <li> Familiarity with robotics tools and simulators such as MuJoCo Isaac Sim Isaac Lab PyBullet ROS or equivalent systems </li> <li> Knowledge of scalable training techniques such as FSDP or ZeRO FlashAttention mixed-precision training quantization and distributed checkpointing </li> <li> A PhD in Computer Science Robotics Machine Learning Artificial Intelligence or a related technical field or equivalent practical experience </li> <li> A track record of impactful publications open-source contributions or deployed robotic systems </li> <li> Experience engineering large distributed data-processing simulation or model-training systems </li> <li> A record of building and delivering products or research prototypes in a dynamic startup-like environment </li> <li> Passion for moving research from controlled experiments to capable reliable real-world robotic systems </li> <li> Excellent command of English with strong technical writing presentation and communication skills </li> <li> Proficiency in contemporary software engineering practices including version control testing code review and CI/CD </li> </ul> &nbsp<div class""content-conclusion"">Benefits &amp Perks <ul> <li>Competitive compensation</li> <li>Career growth and learning opportunities</li> <li>Flexibility and ownership</li> <li>Collaborative and innovative culture</li> <li>Opportunity to work on impactful AI projects</li> <li>International environment and talented teams</li> </ul> What's it like to work at Nebius Fast moving&nbsp- Bold thinking&nbsp- Constant growth&nbsp- Meaningful impact&nbsp- Trust and real ownership&nbsp- Opportunity to shape the future of AI&nbsp Equal Opportunity Statement Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race color religion sex (including pregnancy) national origin ancestry age disability genetic information marital status veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.&nbsp If you need accommodations during the application process please let us know.</div> Find more English Speaking Jobs in United Kingdom on Arbeitnow"

8 min(s). ago 🔥 View

unlock: sign-up / login and use the searches from your home page
🔥 job listings updated in real time

Search Jobs by:

Job Title / Skill*:

Input: Title (e.g. Java Developer) or Skill (e.g. Java) or Category (e.g. Software etc.), or a combination. Experiment since similar jobs are often titled differently (e.g. Java Engineer vs. Java Developer).

Location*:

Input: City and/or State and/or Country or Remote State or Remote Country (e.g. Remote NY or Remote United States or Remote United Kingdom; use the country name), a combination, or Remote or Global.. Sometimes Country is not posted, use City or State. Please see the FAQ on how to best use the searches.

Sign up for free / sign in & search remote jobs by more filters: job title, company, pay, tech stack, clearances, certifications, ✨ any relevant keywords.

large collection of remote & hybrid jobs

100k+

600k+

128k+

115

133,849 remote jobs

Machine Learning Engineer II - Behavioral Security Products

Data Engineer (all genders)

IT Controls Data Engineer

Senior ML Engineer (AI Research/ Portability)

Senior ML Engineer (AI Research, Physical AI)

Advanced Job Search