Member of Technical Staff, Research Engineering

Role details

ABOUT THE ROLE Join an early-stage AI company developing specialized models and learning systems for production agents. You will work across research and production engineering, building post-training methods and infrastructure that improve model quality, cost, and latency in real-world applications. WHAT YOU'LL DO - Build evaluation suites, graders, and data pipelines using production workflows and traces. - Own post-training projects in customer settings, including data work, evaluations, reinforcement learning environments, and training runs. - Implement agent environments and harnesses for reproducible experiments and training data generation. - Run and analyze post-training experiments, reproduce promising research, and debug related systems. - Turn successful experiments into reliable components of a post-training and continual learning platform. WHAT WE'RE LOOKING FOR - One to five years of engineering experience at an AI startup or in an ML research group, working hands-on with LLM post-training, evaluation, or inference. - Strong Python programming skills and solid foundations in machine learning and computer science. - Hands-on experience training, evaluating, and serving LLMs, beyond using APIs or prompt and agent wrappers. - Experience with tools and technologies such as PyTorch, JAX, reinforcement learning, agent environments, evaluation harnesses, vLLM, SGLang, or Megatron. - Evidence of building and owning technical work, such as shipped systems, engineering internships, open-source contributions, research, or substantial projects. - Ability to learn unfamiliar systems, debug independently, communicate technical decisions, and measure whether solutions work. COMPENSATION & BENEFITS Base salary: $200,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site, five days per week in Mountain View, California.