Remote ML Engineer for AI Safety & Evaluation

10a Labs; Oregon; Híbrido; USD 130.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Professional development

Fully remote

Health benefits

Generous PTO

Descripción de la vacante

10a Labs is seeking a Machine Learning Engineer to design, build, and evaluate advanced ML systems across AI safety and model evaluation applications. This role blends ML engineering with an experimental mindset, tackling reinforcement learning, language models, multimodal systems, and classifiers.

You will collaborate with engineers, analysts, red teamers, and subject-matter experts to turn ambiguous questions into rigorous experiments and scalable tools.

Formación

• 3-5+ years of experience in machine learning, research engineering, or a related technical field.
• Strong Python skills and experience with ML frameworks such as PyTorch or JAX.
• Hands-on experience training, fine-tuning, or evaluating modern ML models.
• Strong understanding of experimental design, model evaluation, and quantitative analysis.
• Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents.
• Experience in one or more of the following: reinforcement learning, NLP/LLMs, computer vision, or multimodal ML.
• Strong software engineering fundamentals and the ability to work independently on ambiguous technical problems.

Responsabilidades

• 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 and technical approaches.

Conocimientos

Python

ML frameworks

Reinforcement learning

NLP/LLMs

Computer vision

Multimodal ML

Experimental design

Model evaluation

Quantitative analysis

Software engineering

Independent work

Herramientas

Python

PyTorch

JAX

Cloud ML infrastructure

Descripción del empleo

10a Labs is seeking a Machine Learning Engineer to design, build, and evaluate advanced ML systems across AI safety and model evaluation applications. This role blends ML engineering with an experimental mindset, tackling reinforcement learning, language models, multimodal systems, and classifiers.

You will collaborate with engineers, analysts, red teamers, and subject-matter experts to turn ambiguous questions into rigorous experiments and scalable tools.