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Member of Technical Staff - Research Intern

Trajectory

San Francisco, CAInternshipPosted todayStill listed today

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

As a Member of Technical Staff (Research) at Trajectory, the intern will design and build a post-training stack that enables models to learn continually from production workflows. The role owns experiments across data, training, and evaluation, including shaping telemetry into learnable signals, training and serving custom LLMs and agents, and developing algorithms. The intern will work with founders and design partners and contribute to technical, product, cultural, and architectural decisions.

Skills & qualifications

RequiredNice to have

Skills

Large Language ModelsRL EnvironmentsLLM Evaluation SuitesPyTorchJAXExperimental DesignPre-Training RLPost-Training RLHigh-Performance ComputingLarge-Scale ClustersOpen-Source ML ResearchML InfrastructureTechnical CreativityAI

Qualifications

Master's or Research ExperiencePhD in Final Year

Full job description

Job Description As a Member of Technical Staff (Research) at Trajectory, you will design and build the post‑training stack that lets our customers’ models continually learn from real production workflows. You will own end‑to‑end experiments across data, training, and evaluation: shaping telemetry into learnable signals, training and serving custom LLMs and agents, and designing novel algorithms. You’ll work directly with the founders and design partners, make foundational technical and product decisions, and help define both the culture and architecture of a company whose core mission is to enable continually learning intelligence.

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

Preferred

  • 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 Trajectory Trajectory is a research and product lab creating the platform for continual learning. AI is the most capable software ever built, and the least able to learn. Every valuable correction and edit that happens in a product evaporates at the next session. A few teams have closed this gap by hand-coupling their models to their products: Composer, Claude Code, Windsurf SWE-1. Trajectory is the first scalable approach for every company: our platform unlocks the signal already sitting in product use, so companies can continuously post-train large-scale agentic models that outperform the frontier. Working with leading AI companies, including Decagon, Clay, Harvey, Mercor, and Rogo. Founded by researchers from Deepmind, OpenAI, Meta, Apple, Amazon, and Scale. $15M led by Conviction, with Fei-Fei Li, Jeff Dean, and founders of Notion, Braintrust, Modal, Hugging Face, and Dropbox.

How this job compares

Set against the 4,653 open Researcher jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This postingNot listed
  • California median$150–240K/yr432 salary ranges
  • California median$38–69/hr56 hourly ranges
Openings
Olive Jobs lists 745 open Researcher jobs in California and 4,653 across the US. 2% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Researcher postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (1,500 postings).
Education
3,079 of the 4,653 open Researcher jobs (66%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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