Senior Research Engineer - Safety Tooling and Data

Role Description

As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management for complex combinations of real and synthetic data used in both model training and evaluation. You will own the cohesive vision of these tooling repositories.

• Work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigor.
• Have autonomy and need to be opinionated about areas of the codebase that need elegance and standards.
• Be given high-level experimental problems to solve with efficient pipelines, designing and implementing the solutions.
• Collaboratively feed data analysis into modeling decisions and experimentation.

This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply.

You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required.

Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal, and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions.

Key Responsibilities

• Design and implement robust data pipeline tooling that enables frequent, low-friction 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 for both training and evaluation.
• 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.

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, TensorFlow, JAX).
• Demonstrated ability to own complex technical projects from conception to deployment.
• Opinionated approach to technical architecture with the ability to make principled decisions.
• Understanding of ML data requirements and the intersection of data engineering with modeling workflows.

Working Location

This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

Compensation

Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience:

• United States:
  • For candidates based in New York, the compensation range is: $270,000 – $380,000.
  • For candidates based elsewhere in the US (ET), the compensation range is: $230,000 – $325,000.
• Canada:
  • For candidates based in the Toronto GTA and Montreal, the compensation range is: $385,000 – $535,000.
  • For candidates based elsewhere in Canada (ET), the compensation range is: $330,000 – $460,000.
• Elsewhere: To be discussed with your recruiter.

Benefits

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• 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: 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.

How and Where We Work

Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.

• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.