Senior Member of Technical Staff, Synthetic Data

Highlights

• Build the synthetic data pipeline powering Cohere's advanced language models.
• Transform diverse web and code data to improve token efficiency and model quality.
• Drive gains in training throughput and accelerator utilization for frontier models.

What they offer

• Weekly $75 lunch stipend
• Full health and dental benefits including mental health budget
• RRSP matching, 401K and pension scheme
• 100% parental leave top-up for up to 6 months
• 6 weeks of paid vacation
• Education and enrichment stipends for learning, wellness and workspace
• $500 home office stipend plus co-working benefit and annual offsite

Ideal candidate

A research-minded engineer passionate about turning raw data into the foundation of AI systems and bridging research with scalable engineering to advance frontier language models.

Requirements

• Strong software engineering skills with proficiency in Python and building data pipelines
• Familiarity with data processing frameworks such as Apache Spark, Apache Beam or Pandas
• Experience working with LLMs via work projects, open-source contributions or personal experimentation
• Familiarity with LLM inference frameworks such as vLLM and TensorRT
• Experience working with large-scale web, code and multilingual datasets
• Passion for bridging research and engineering to solve complex data challenges in AI training