Member of Technical Staff - Research

Trajectory; San Francisco (CA); Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

Trajectory is hiring a Member of Technical Staff (Research) in San Francisco to design and build the post-training stack that enables models to continually learn from real production workflows. You will own end-to-end experiments across data, training, and evaluation, shaping telemetry into learnable signals and designing novel algorithms.

You will work with founders and design partners to influence technical and product decisions, contributing to the culture and architecture of a company

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.

Responsabilités

• Design and build the post-training stack enabling continual learning from real production workflows.
• Own end-to-end experiments across data, training, and evaluation.

Connaissances

Experience training or serving LLMs

RL environments / evaluation suites

PyTorch / JAX / ML frameworks

Experimental design skills

Master’s / research experience

Formation

Master’s / research experience

PhD (last year) in AI/RL

Outils

PyTorch

JAX

Description du poste

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.

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.