Member of Technical Staff - Research Intern
Trajectory · San Francisco
Infrastructureonsiteintern
At a glance
Highlights
- Build the post-training stack that lets customer models learn continually.
- Shape production telemetry into learnable signals for agentic models.
- Design novel algorithms with founders and define company architecture.
Ideal candidate
Research-driven builder who loves running end-to-end experiments and turning real-world product signals into smarter agents. Creative and ambitious, eager to work closely with founders to define continual learning.
Requirements
- 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
Lab profile
About Trajectory
Builds a continual-learning platform helping production models learn from real workflows.
What they build
- Continual-learning platform
- Post-training stack for LLMs and agents
- SDK and API surfaces
Known for
- Continual learning from production telemetry
- Custom LLM and agent training and serving
- Novel continual-learning algorithms
- ML training and inference infrastructure optimization
Posted · Last seen