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

United States · Canada · Full-time · Onsite · Posted Oct 14, 2026

At a glance

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 large language models.
Work closely with researchers and annotation teams to enable rapid data iteration.

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.

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.

Weekly lunch stipend of $75/£75 or equivalent
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 including 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
Daily lunch program, plenty of snacks, and regular community and social events for those in the office
Co-working benefit

Remote-friendly with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul.
Co-working benefit provided for those not near an office.
$500 home office stipend to set up workspace properly.