Member of Technical Staff

Description

As a Member of Technical Staff (Research) at the company, 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 the company

The company 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.

The company 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.