Python · AI
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.
About the Role
We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications.
This role combines strong ML engineering with an experimental mindset. You will work on problems involving reinforcement learning, model evaluations, language models,multimodal systems, and classifiers, taking ambiguous technical questions and turning them into rigorous experiments and scalable systems.
You will collaborate closely with engineers, analysts, red teamers, and subject-matter experts supporting leading AI organizations.
What You'll Do
- Design and run ML experiments to evaluate the capabilities, behavior, robustness, and limitations of advanced AI systems.
- Develop and evaluate models acrossreinforcement learning, NLP/LLMs, computer vision, and multimodal ML.
- Build evaluation pipelines, benchmarks, datasets, and metrics for frontier AI systems.
- Train, fine-tune, and evaluate models for safety, security, and other high-impact applications.
- Develop reliable tooling and infrastructure to run ML experiments and evaluations at scale.
- Analyze results, identify model failure modes, and translate findings into new experiments