Staff Research Engineer – Frontier AI, RL & Evaluation [893YJYHP]

We are hiring Staff Research Engineers to work on a short-term project across multiple locations. The role involves researching frontier AI systems, developing datasets and experiments, and evaluating AI models. The ideal candidate will have 7+ years of experience in research engineering, a strong foundation in machine learning, and experience with Python programming.

Experience: 7 to years

Responsibilities:

• Research capabilities, limitations, and training methods of frontier AI systems

• Develop datasets, experiments, prototypes, tooling, and evaluation frameworks

• Explore synthetic data, agentic data generation, RL, post-training, model understanding, benchmarks, and evaluation

• Train, test, and evaluate AI models using modern ML tools

• Analyze experimental results and generate evidence-based technical insights

• Develop AI environments for coding agents, computer-use/browser-use agents, and tool/function-calling agents

• Translate research findings into scalable AI products and applications

• Collaborate with Research, Engineering, Product, and Operations teams

• Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate

Requirements:

• 7+ years of professional experience with significant research engineering experience in Machine Learning or Frontier AI

• PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related technical field

• Strong foundations in Machine Learning with hands-on experience designing experiments, training models, evaluating models, or developing AI systems

• Research experience in one or more areas: Synthetic/Agentic Data Generation, Reinforcement Learning, Post-Training, Model Understanding, AI Evaluation, Benchmarks, AI Agents

• Strong Python programming skills and experience with modern AI/ML frameworks and tooling

• Strong understanding of experimental rigor, data quality, reproducibility, and evidence-based research

• Ability to independently investigate research questions, build prototypes, run experiments, and analyze results

• Experience providing technical leadership and mentoring

Skills:

• Machine Learning

• Frontier AI

• Python programming

• Research engineering

• Reinforcement Learning

• Post-Training

• Model Understanding

• AI Evaluation

• Benchmarks

• AI Agents