Why This Job is Featured on The SaaS Jobs
Frontier model providers sit at a distinctive point in the SaaS ecosystem, operating both as platform companies and as product builders for other software teams. This internship is featured because it places an engineer-in-training close to the core mechanics of an AI API business, where reliability, latency, and developer experience are part of the product, not just internal engineering concerns.
For a SaaS career, the work described maps to durable themes: shipping to production, building services that scale, and creating tooling and pipelines that support continuous delivery. Exposure to API surfaces, infrastructure, and internal developer productivity translates well across modern SaaS organisations, particularly those layering AI capabilities into search, content workflows, or agentic systems. The mention of documentation also signals practice in the operational side of SaaS, where clear interfaces and maintainable systems reduce support load and speed adoption.
This role suits students who want breadth early, from user-facing features to backend services, and who learn best by owning concrete deliverables. It is also a strong match for candidates curious about how developer platforms are built and maintained, especially in remote-friendly setups where written communication and self-directed execution matter.
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!
Why this role?
This role is for students who are excited about building the next generation of machine learning models and NLP products. Our SWE roles can cover creating datasets for machine learning, scaling the pods to serve our API, or even building out new security features on our platform. We don't distinguish much between interns and full-time employees, and you’ll have plenty of opportunities to push code to production. You'll have full autonomy and ownership over high-impact work, and will be backed by the support of an incredible team or leaders & mentors.
Join us at a pivotal moment, shape what we build, and wear multiple hats!
We're currently hiring for multiple teams and roles, including Frontend, Backend, Full-stack, and Infrastructure roles. We'll take your interests & experience into account throughout the application process.
Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage.
Please Note: To be eligible for this position, you should be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term.
As a Software Engineering Intern, you will:
Ship delightful experiences for our user-facing products, meticulously crafting code for browsers or server code.
Build features for the API platform that directly impact users.
Design and implement robust data pipelines (crawlers, storage, filters).
Design and implement scalable services or infrastructure for machine learning development.
Build internal tooling (CI/CD, dev utilities) to move faster together.
Build tech writing skills through maintaining and contributing to technical documentation, both internal and external facing.
Keep up with the cutting edge and adopt new technologies to improve performance and reliability across Cohere.
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!)
