Member of Technical Staff - Post-training (Data Infrastructure)

Cohere•San Francisco, CA
•$175,000 - $380,000•Hybrid

About The Position

As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models.

Requirements

  • Strong software engineering skills.
  • Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training.
  • Track record of running distributed data processing and model inference at scale.
  • Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour.
  • Excellent communication skills.

Responsibilities

  • Build and maintain data pipelines for SFT, preference, and RL post-training data.
  • Own dataset quality, versioning, and reproducibility.
  • Turn research data recipes into production-grade, reusable components.
  • Scale model inference for data generation and model-based grading.
  • Design data formats and schemas that keep post-training datasets consistent and efficient to train on.
  • Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models.

Benefits

  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
  • Full health and dental benefits, including a separate budget for mental health.
  • RRSP matching, 401K, Pension Scheme.
  • 100% Parental Leave top-up for up to 6 months, for either parent.
  • Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
  • Education & learning stipend for conferences, courses, and coaching.
  • 6 weeks of paid vacation (30 working days!)
  • Budget for traveling to other offices if you are remote, plus an annual company offsite.
  • A daily lunch program, plenty of snacks, and regular community and social events (for those in the office).
  • A co-working benefit so you can work alongside others in your city (for those not near an office).
  • $500 home office stipend to set up your workspace properly.
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