Member of Technical Staff, Cohere
Agentic Environments
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
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
- Value test-driven development methods, clean code, and strive to reduce technical debts at all levels
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR
- Experience using and debugging large-scale distributed training strategies (memory/speed profiling)
- Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray)
- Experience in ML and LLM academic research
- Have a deep passion for quality work
- Enjoy tuning and optimising large LLM models
- Comfortable working with people with different levels of software engineering skills, from beginner to more advanced
- Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems
- Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions
- If any of the above doesn’t line up exactly with your experience, we still encourage you to apply
What the job involves
- At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale
- This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations
- This position is hands-on and engineering-driven
- You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions
- We strive for excellence in both engineering and science by meticulously designing experiments and design docs
- We blend engineering and research seamlessly
- Everyone contributes to both, depending on organizational needs
- We provide access to world class compute resources, data, and talent to ensure you can do your best work
- Design and write high-performing and scalable software for training models
- Develop new tools to support and accelerate research and LLM training
- Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.)
- Research, implement, and experiment with ideas on our cluster and data infrastructure
- Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!
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.
Salary benchmarks
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