Top Benefits
Six weeks paid vacation
Equity / stock options
RRSP, 401(k), and pension contributions
About the role
Who you are
- You don’t need to have everything figured out yet. We care more about curiosity, strong fundamentals, and a willingness to learn quickly in a fast-moving research environment
- Have a strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands-on work)
- Enjoy writing clean, reliable code and building systems that others can use and extend
- Are comfortable experimenting, running ablations, analyzing results, and iterating quickly
- Have experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, finetuning, evaluation frameworks)
- Like collaborating closely with researchers and translating ideas into practical implementations
- Are excited to grow your research instincts while staying grounded in engineering excellence
- At Cohere Labs, research engineers are not just support roles. They are core contributors who help define how ideas become reality. If you want to work on meaningful problems, learn fast, and help build tools that shape the future of AI, we’d love to hear from you
- If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
What the job involves
- We’re looking for Research Engineers who enjoy getting their hands dirty: building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems
- This is a highly practical role. You’ll work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports our research programs
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
About Cohere
Software Development
501-1000
Cohere is the leading data security-focused enterprise AI company. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models with industry-leading multilingual capabilities designed to solve real-world business challenges. Cohere’s AI solutions are cloud-agnostic to meet companies wherever their data is stored and offer the highest levels of security, privacy, and customization with on-premises and private cloud deployment options.
Top Benefits
Six weeks paid vacation
Equity / stock options
RRSP, 401(k), and pension contributions
About the role
Who you are
- You don’t need to have everything figured out yet. We care more about curiosity, strong fundamentals, and a willingness to learn quickly in a fast-moving research environment
- Have a strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands-on work)
- Enjoy writing clean, reliable code and building systems that others can use and extend
- Are comfortable experimenting, running ablations, analyzing results, and iterating quickly
- Have experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, finetuning, evaluation frameworks)
- Like collaborating closely with researchers and translating ideas into practical implementations
- Are excited to grow your research instincts while staying grounded in engineering excellence
- At Cohere Labs, research engineers are not just support roles. They are core contributors who help define how ideas become reality. If you want to work on meaningful problems, learn fast, and help build tools that shape the future of AI, we’d love to hear from you
- If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
What the job involves
- We’re looking for Research Engineers who enjoy getting their hands dirty: building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems
- This is a highly practical role. You’ll work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports our research programs
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
About Cohere
Software Development
501-1000
Cohere is the leading data security-focused enterprise AI company. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models with industry-leading multilingual capabilities designed to solve real-world business challenges. Cohere’s AI solutions are cloud-agnostic to meet companies wherever their data is stored and offer the highest levels of security, privacy, and customization with on-premises and private cloud deployment options.