{"schemaVersion":"jobsearcher.job.v1","id":"81a1c2e4c8a9a9c8e12d3487","url":"https://jobsearcher.com/jobs/81a1c2e4c8a9a9c8e12d3487","canonicalUrl":"https://jobsearcher.com/jobs/81a1c2e4c8a9a9c8e12d3487","title":"Engineering Fellowship","description":"About 10a Labs 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.\nAbout the role As an Engineering Fellow, you will apply your technical skills to support high-impact research problems. Fellows will contribute across the project lifecycle — from processing diverse data sources and designing dynamic visualizations, to deploying sophisticated models and building cloud infrastructure. This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test ideas quickly, and generate insights.\nFellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning.\nIn this role, you will Collaborate with engineers on real projects, including client-facing products and in-house tooling;\nAssist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems;\nIdeate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields; and\nSupport other critical initiatives.\nSoftware Engineering concentration responsibilities Implementing cloud infrastructure for deploying machine learning models;\nWriting high-coverage test suites for complex codebases; and\nGuiding project development with software engineering best practices, including version control, continuous integration, and design patterns.\nData Engineering concentration responsibilities Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-scale datasets;\nDesigning data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs; and\nDeveloping front-end dashboards and other visualizations.\nMachine Learning concentration responsibilities Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models;\nBuilding agentic systems for automated prompting, red-teaming, research, and rapid experimentation;\nSupporting projects with specialized knowledge of frontier model architectures and cutting-edge technology.\nWe’re looking for someone who Brings curiosity and creativity to ambiguous research problems, with a bias toward experimentation and rapid iteration;\nThrives in collaborative, interdisciplinary environments; is resourceful, proactive, and adaptable;\nIs comfortable communicating technical ideas clearly to both technical and non-technical audiences; and\nIs excited about contributing to real-world applications and exploring new methods that push beyond standard benchmarks.\nRequirements Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience\nStrong Python background\nClear communicator of technical concepts for non-technical audiences\nNice to have Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner), workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub), and ML services (e.g., Vertex AI, Compute Engine)\nExperience managing full lifecycle projects from design to deployment\n\n#J-18808-Ljbffr","company":"10a Labs","rawCompany":"10a labs","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:49:00.190Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Fellowship","description":"About 10a Labs 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.\nAbout the role As an Engineering Fellow, you will apply your technical skills to support high-impact research problems. Fellows will contribute across the project lifecycle — from processing diverse data sources and designing dynamic visualizations, to deploying sophisticated models and building cloud infrastructure. This is a hands-on role at the intersection of applied research and practical engineering, with opportunities to explore novel methods, test ideas quickly, and generate insights.\nFellows specialize in one of three concentrations based on interest and past experience: Software Engineering, Data Engineering, or Machine Learning.\nIn this role, you will Collaborate with engineers on real projects, including client-facing products and in-house tooling;\nAssist with researching experiment design and automation, particularly as it relates to abuse detection or red teaming of AI systems;\nIdeate / brainstorm new research approaches to known and novel problems in the Trust & Safety and AI Security fields; and\nSupport other critical initiatives.\nSoftware Engineering concentration responsibilities Implementing cloud infrastructure for deploying machine learning models;\nWriting high-coverage test suites for complex codebases; and\nGuiding project development with software engineering best practices, including version control, continuous integration, and design patterns.\nData Engineering concentration responsibilities Sourcing, curating, and processing diverse data sources across domains and modalities, including automated collection of internet-scale datasets;\nDesigning data architecture schemata, implementing with production-grade data storage tools, and interfacing via custom APIs; and\nDeveloping front-end dashboards and other visualizations.\nMachine Learning concentration responsibilities Training, validating, evaluating, and deploying cutting-edge machine learning algorithms including classifiers, LLMs, and computer vision models;\nBuilding agentic systems for automated prompting, red-teaming, research, and rapid experimentation;\nSupporting projects with specialized knowledge of frontier model architectures and cutting-edge technology.\nWe’re looking for someone who Brings curiosity and creativity to ambiguous research problems, with a bias toward experimentation and rapid iteration;\nThrives in collaborative, interdisciplinary environments; is resourceful, proactive, and adaptable;\nIs comfortable communicating technical ideas clearly to both technical and non-technical audiences; and\nIs excited about contributing to real-world applications and exploring new methods that push beyond standard benchmarks.\nRequirements Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on-experience\nStrong Python background\nClear communicator of technical concepts for non-technical audiences\nNice to have Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner), workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub), and ML services (e.g., Vertex AI, Compute Engine)\nExperience managing full lifecycle projects from design to deployment\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:49:00.190Z","dateModified":"2026-07-16T03:49:00.190Z","hiringOrganization":{"@type":"Organization","name":"10a Labs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"81a1c2e4c8a9a9c8e12d3487"},"url":"https://jobsearcher.com/jobs/81a1c2e4c8a9a9c8e12d3487"}}