Senior Research Engineer, Cohere
Safety Tooling and Data
$270-380k
Enterprise-grade AI solutions for real-world business problems
Be an early applicant
Enterprise-grade AI solutions for real-world business problems
501-1000 employees
Be an early applicant
$270-380k
501-1000 employees
Company mission
To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.
Role
Who you are
- 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
What the job involves
- 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 that is 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 Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required
- 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
Our take
Many businesses are now faced with the challenge of adopting advanced AI safely and securely. While AI tools like ChatGPT are making headlines, companies (especially those in regulated industries such as banking, telecoms, or government services) worry about privacy, compliance, and control over their sensitive data. Cohere addresses these concerns by offering AI solutions that can be trained on a company's internal data and, importantly, run on their own infrastructure rather than relying on external cloud providers. And in a world where data breaches and regulatory scrutiny are constant threats, this focus on trust and security is key.
In a competitive landscape dominated by giants like OpenAI, Google, and Elon Musk's xAI, Cohere is setting itself apart by targeting businesses exclusively. Its approach has earned it contracts with some big names, like Royal Bank of Canada, Fujitsu, LG, Oracle, and Dell. By focusing on reliability and enterprise adoption rather than viral consumer appeal, Cohere has carved out a strong niche for itself.
This isn't going unnoticed either, as the company recently raised $500M, boosting its valuation to $6.8B, and brought on board top talent from Meta and Uber to strengthen its leadership team. Alongside this, it's doubled its annual recurring revenue to $100M in 2025 and is aiming to hit $200M by year-end. With its North platform for AI agents and a lean cost structure compared with larger rivals, Cohere is very much ready for more growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
192% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2026
$600m
SERIES E
Sep 2025
$100m
LATE VC
Total funding: $2.1bn
Company benefits
- Six weeks’ paid vacation
- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions
- Coverage for 100% of your insurance premiums across health, dental, vision, and travel
- Additional coverage for accessing mental health providers/services
- Six months of fully paid parental leave, including adoption and surrogacy
- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance
- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance
Company HQ
Grange Park, Toronto, ON
Leadership
Aidan Gomez
(Co-Founder & CEO)Aidan received a PhD in Computer Science from the University of Oxford in 2024 and has served as Cohere's CEO since co-founding the company in 2019.
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