Member of Technical Staff Post Training Data Infrastructure
CohereVisit Cohere website
Toronto-founded enterprise AI company building foundation models, agentic AI, enterprise search, and private deployment products.
Toronto, Canada
About Cohere
Cohere provides enterprise-focused AI models and end-to-end products, including North for agentic workplace AI, Compass for enterprise search, and models for generation and retrieval. It supports private, VPC, and on-premises deployment options.
Skills
About the Role
You will build and own pipelines for post-training data, including SFT, preference, reinforcement-learning, synthetic, and human-annotated data. You will manage dataset quality, versioning, and reproducibility; turn research recipes into reusable production components; scale inference; design data schemas; and collaborate with researchers and engineers.
Requirements
- Software engineering
- Large-scale machine-learning data pipelines
- LLM post-training
- Distributed data processing
- Model inference
- SFT
- RLHF
- DPO
- Communication
Responsibilities
- Build and maintain data pipelines for SFT, preference, and reinforcement-learning data
- Own dataset quality, versioning, and reproducibility
- Convert research data recipes into reusable production components
- Scale model inference for data generation and model-based grading
- Design efficient data formats and schemas
- Collaborate with researchers and engineers on data-pipeline needs
Benefits
- Weekly lunch stipend of $75/£75 or local equivalent
- Health and dental benefits, including a mental-health budget
- RRSP matching, 401K, and Pension Scheme
- 100% parental-leave top-up for up to 6 months
- Arts and culture, fitness/wellness, quality-time, and workspace-improvement benefits
- Education and learning stipend
- 6 weeks of paid vacation
- Travel budget for other offices and annual company offsite
- Co-working benefit
- $500 home-office stipend
- Daily lunch, snacks, and community events for office-based employees