Senior Research Engineer - Safety Tooling and Data

The role

You will build tools for data synthesis, analysis, and management for real and synthetic data used in model training and evaluation. You will design and implement efficient pipelines and data infrastructure to support model experimentation.

What you will do

• Design and implement robust data pipeline tooling for data generation and annotation
• Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
• Establish standardized processes for data validation, analysis, and improvement of data
• Collaborate with the ML modeling team to align data capabilities with experimental needs
• Maintain opinionated, well-documented solutions that become team standards
• Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps

Required qualifications

• Extremely strong software engineering skills
• Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch)
• Proficiency in Big Data Analytics (e.g. BigQuery, SQL)
• Demonstrated ability to own complex technical projects from conception to deployment
• Opinionated approach to technical architecture with ability to make principled decisions
• Understanding of ML data requirements and the intersection of data engineering with modeling workflows

Nice to have

• Interest in Modelling Safety and Trust

Benefits

• 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
• 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
• Budget for traveling to other offices if you are remote
• Annual company offsite
• Daily lunch program, snacks, and regular community and social events for those in office
• Co-working benefit for those not near an office
• $500 home office stipend

Before you apply

• Role has timezone restrictions (UK, Europe, or ET)
• May use AI-enabled tools to screen and assess applicants

About the company

Cohere is a security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.