Why This Job is Featured on The SaaS Jobs
This internship sits at the intersection of SaaS and foundational AI infrastructure, where model capability directly shapes what developers and enterprises can build on top. The “Sovereign AI” framing signals work in regulated, public interest, or jurisdiction-specific deployments, an increasingly important slice of the SaaS ecosystem as AI moves from prototypes into production systems.
For a SaaS career, the value is in learning how platform-level AI is engineered and operationalised, not just consumed via APIs. Experience designing training approaches, improving serving efficiency, and collaborating with product teams maps well to roles in AI platform engineering, applied ML, and developer-facing SaaS products. Exposure to large-scale distributed training and safety-oriented techniques also builds literacy in constraints that frequently define enterprise SaaS adoption.
This role is best suited to early-career engineers or researchers who want hands-on work close to core model development and are comfortable navigating ambiguous technical problems. It will appeal to those who enjoy pairing deep Python and ML framework work with practical considerations around deployment, reliability, and stakeholder communication in a remote, cross-functional environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
As a Sovereign AI Intern, you will:
Design, train and improve upon cutting-edge models to serve public interest.
Help us develop new techniques to train and serve models safer, better, and faster.
Train extremely large-scale models on massive datasets.
Learn from experienced senior machine learning technical staff.
Work closely with product teams to develop solutions.
You may be a good fit if you have:
Proficiency in Python and related ML frameworks
Experience using large-scale distributed training strategies.
Strong communication and problem-solving skills.
Bonus: Canadian citizenship
Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 An open and inclusive culture and work environment
🧑💻 Work closely with a team on the cutting edge of AI research
🍽 Weekly lunch stipend, in-office lunches & snacks
🦷 Full health and dental benefits, including a separate budget to take care of your mental health
🐣 100% Parental Leave top-up for up to 6 months
🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
✈️ 6 weeks of vacation (30 working days!)
