Trajectory
Member of Technical Staff - Research
San Francisco. Posted 5 months ago
The role
You will design and build the post-training stack to let customer models learn from production workflows. You will own end-to-end experiments across data, training, and evaluation.
What you will do
- Design and build the post-training stack
- Own end-to-end experiments across data, training, and evaluation
- Shape telemetry into learnable signals
- Train and serve custom LLMs and agents
- Design novel algorithms
- Make foundational technical and product decisions
Required qualifications
- Experience training or serving large language models
- Experience building RL environments or evaluation suites for LLMs
- Proficiency in PyTorch, JAX, or similar ML frameworks
- Strong experimental design skills
- Master’s / research experience
Nice to have
- Background in pre- or post-training RL for LLMs
- Experience with high-performance computing or large-scale clusters
- Contributions to open-source ML research or infrastructure
- Demonstrated technical creativity (research, OSS, side projects)
- PhD (last year of PhD), working on AI / RL open source projects
About the company
Trajectory is a research and product lab creating the platform for continual learning. It was founded by researchers from Deepmind, OpenAI, Meta, Apple, Amazon, and Scale.