Member of Technical Staff, Cohere
Agent Code
+ Equity
More information about location
Enterprise-grade AI solutions for real-world business problems
Open for applications
Enterprise-grade AI solutions for real-world business problems
501-1000 employees
Open for applications
+ Equity
More information about location
501-1000 employees
Company mission
To empower businesses to scale innovation, boost productivity, and drive progress that reaches everyone.
Role
Who you are
- A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
- Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development
- Hands-on experience with frontier LLMs and their applications in code generation or automation
- Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks
- Experience with distributed systems, cloud infrastructure, and scalable architectures
- A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems
- If you’re passionate about shaping the future of code LLMs and agent systems, and thrive in a dynamic, research-driven environment, 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
- Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated
- At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team
- You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight
- This role is hands-on and research-driven
- You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions
- At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs
- We provide access to world-class compute resources, data, and talent to ensure you can do your best work
- Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems
- Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms
- Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
- Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs
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, its doubled its annual recurring reveneu 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 7 rounds)
Sep 2025
$100m
LATE VC
Aug 2025
$500m
LATE VC
Total funding: $1.5bn
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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