Senior Research Engineer - Safety Tooling and Data

Cohere; New York (NY); Hybrid; USD 270,000 - 380,000; Full time

Benefits offered by this job

Lunch stipend of $75

Full health and dental benefits

RRSP matching, 401K, Pension Scheme

100% Parental Leave top-up

6 weeks of paid vacation

Annual enrichment benefits

Job summary

Cohere is seeking a Senior Research Engineer to join their Safety team in New York. You will focus on building tools for data synthesis, analysis, and management, supporting model training and evaluation. The ideal candidate has strong software engineering and statistical skills and experience with Python and ML frameworks.

This hybrid role offers the flexibility to work remotely while collaborating closely with a dedicated team. You'll have autonomy in your projects and will tackle complex problems in AI modeling.

Qualifications

• Extremely strong software engineering skills.
• Strong statistical skills and experience with scientific experiments.
• Proficiency in programming languages like Python and ML frameworks.

Responsibilities

• Design and implement robust data pipeline tooling.
• Create cohesive data infrastructure.
• Collaborate with the ML modeling team.

Skills

Software engineering

Statistics

Python

ML frameworks (PyTorch)

Big Data Analytics (BigQuery, SQL)

Job description

Overview

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

We obsess over what we build. Each one of us contributes to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more who are passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

Role Overview

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.

You will 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 rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling 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 Modeling 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 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) and 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

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

Perks

• 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.

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.