Member of Technical Staff, Research Engineering

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.