Cohere
Member of Technical Staff - Post-training (Data Infrastructure)
$295K–$535K
United States +1 · On-site · Staff · Full-time · Posted Oct 14, 2026
- Location
- United States
Canada
About the job
Build and own data infrastructure and pipelines that produce reliable post-training datasets for Cohere’s large language models.
What you'll do
- Build and maintain pipelines for SFT, preference, and RL data; own dataset quality, versioning, and reproducibility.
- Turn research data recipes into reusable production components, and scale inference for data generation and model-based grading.
- Design consistent, efficient data formats and collaborate with researchers and engineers on pipeline needs.
What they ask for
- Strong software engineering skills.
- Experience designing and building large-scale machine-learning data pipelines.
- Track record of distributed data processing and model inference at scale.
- Good understanding of post-training methods such as SFT, RLHF, and DPO, and excellent communication skills.
Nice to have
- Experience building pipelines specifically for LLM post-training.
Pay
CA$295K – CA$535K (base salary)
Tools
SFT, RL, RLHF, DPO
AI focus
Build infrastructure for LLM post-training data, including synthetic and human-annotated data, data generation, and model-based grading.
Model-written summary · the original posting is authoritative