Cohere Internship 2027–2028: Programs, Deadlines & How to Apply

Last updated: July 2026

Cohere was co-founded by Aidan Gomez, one of eight authors of the 2017 "Attention Is All You Need" paper that introduced the Transformer architecture behind virtually every modern large language model. At a $7 billion valuation and roughly 1,000 employees, Cohere sits at the enterprise end of the foundation-model race alongside OpenAI, Anthropic, and Google DeepMind. The company runs three distinct intern tracks plus a separate Scholars Program, and all four operate on rolling admissions with no published deadlines, so the calendar advantage belongs to whoever applies first.

Quick Facts

Four pathways into a top-tier AI lab, all rolling and remote-friendly: SWE, ML, Research (PhD only), and the 8-month Scholars Program. US interns earn $56 to $64 per hour, and the absence of hard deadlines means early applicants get first consideration every cycle.

Externships are short, remote projects where you finish real work for a real company. The Wayfair AI Agent Engineering Externship and Beats by Dre Data Analytics Externship build the Python, ML pipeline, and data-analysis evidence a Cohere application rewards. Explore all Externships.

What Is a Cohere Internship?

A Cohere internship is a paid, full-time placement at one of the world's leading enterprise AI labs, working directly on the models and infrastructure behind products like Command A, Embed 4, and the North agentic platform. Unlike larger tech companies that slot interns into predefined projects, Cohere's small team size (roughly 1,000 employees) means interns contribute to production codebases from their first week, whether that is building data pipelines, training large-scale language models, or conducting publishable research under Cohere Labs. The remote-friendly structure across seven global offices widens access beyond the traditional Bay Area pipeline, and the co-op format accommodates Canadian university terms of 3 to 6 months. Scholars Program alumni have gone on to roles at Cohere itself, NVIDIA, Stanford, Carnegie Mellon, and Princeton, confirming the program serves as a genuine research launchpad.

When Do Cohere Internship Applications Open for 2027–2028?

Cohere does not publish fixed application deadlines, so the calendar works differently from a Google or Meta cycle. Summer internship postings have historically appeared between December and February, with rolling review running until seats fill. The Scholars Program follows its own cadence, opening around August each year for a January start. For the Summer 2027 cycle, the preparation window is now and the application window begins late 2026. Because there is no published cutoff, early submission is the only lever you can pull to ensure your resume reaches a reviewer before headcount is allocated.

Why You Must Apply the Week Applications Open

Cohere runs every intern track on rolling admissions with no published deadlines, which sounds relaxed but actually makes timing more urgent. Without a fixed cutoff, the hiring team reviews and extends offers as applications arrive, and once headcount is filled, the posting quietly closes. Community threads confirm that Cohere's intern listings have stayed live for several months in some cycles but closed quickly in others depending on applicant volume. The safest move: set a job alert on Ashby, and submit within the first two weeks of a posting going live. For the ML and Research tracks, a research portfolio or publication record puts your application above the stack before the recruiter even opens your resume. And since Cohere is small (roughly 1,000 people), a warm referral from a current employee carries outsized weight compared to larger labs.

Which Cohere Internship Programs Should You Target?

Cohere offers three distinct internship tracks plus a standalone research program, each targeting a different stage of technical development. The SWE track suits builders who want production infrastructure experience at an AI company. The ML track is for students already comfortable with training pipelines and model architecture. The Research Internship requires an active PhD and aims for publishable output. And the Scholars Program is an on-ramp for early-career researchers who have curiosity but not yet a publication record.

Browse all open roles on the Cohere job board. With roughly 138 open positions across the company, engineering and research headcount is expanding, and the ML Intern and Research tracks may carry more seats as Cohere Labs scales its research output.

What Are the Eligibility Requirements?

Requirements differ meaningfully across the four tracks, so read the posting for your target role carefully:

• SWE & ML Intern: currently enrolled in any post-secondary program (Bachelor's or Master's). No specific field requirement for SWE; ML track prefers CS, ML, or a quantitative discipline.

• Research Internship: must be actively pursuing a PhD in machine learning, NLP, or a closely related field. Publications at top venues (NeurIPS, ICML, ICLR, ACL, EMNLP) are preferred but not strictly required.

• Scholars Program: open to early-career researchers with no prior publication requirement. Designed as a launchpad for people entering the field, not a filter for people already in it.

• Work authorization: the Research Internship explicitly states no H-1B sponsorship. Full-time H-1B sponsorship is available at Cohere. Intern CPT/OPT eligibility is not confirmed on postings; verify directly with the recruiting team.

• Availability: all intern tracks require full-time commitment for the duration (3 to 8 months depending on track). Co-op format is available for Canadian university programs.

Do I Need Publications to Intern at Cohere?

Only the Research Internship lists publications as preferred, and even there they are not a hard gate. The ML Intern track notes that publications at NeurIPS, ICML, ICLR, ACL, or EMNLP are a plus, but the core requirements are Python fluency, ML framework experience, and distributed training knowledge. The Scholars Program explicitly requires no publications at all. If you have strong project work demonstrating Transformer-level understanding but no published papers, the SWE and ML tracks are realistic targets.

What Skills Does Cohere Look For, and How Do You Build Them?

Analyzing Cohere's three intern job descriptions (SWE, ML, and Research) reveals a clear split. Python and ML framework proficiency appear in two of three, as does distributed training experience and Transformer architecture knowledge. The SWE track stands apart with a broader software engineering fundamentals requirement and less emphasis on model internals. The through-line across all three: Cohere expects interns to contribute to production systems from the start, so practical coding ability matters as much as theoretical knowledge. GPU kernel development and TPU training experience are listed as preferred for the ML track, signaling that Cohere values systems-level optimization alongside model research.

How Is Demand for ML Engineering Interns Moving Right Now?

Build These Skills Before You Apply

And every skill in that chart maps to a remote Externship where you finish a real project before a posting opens.

The Wayfair project gives you a production AI-agent build to discuss in scenario-based interviews, and the Beats project delivers the data-analysis story that Cohere's evaluation-focused culture expects.

What Is the Cohere Application and Interview Process Like?

Cohere's interview loop is team-based and varies by track, running roughly 3 to 4 weeks from application to offer:

1. Apply on Cohere's Ashby board. Filter for intern or co-op roles, select your track, and submit your resume. ML and Research applicants should include a research portfolio or link to relevant publications. Rolling review means there is no deadline to wait for.

2. Recruiter screen (30 minutes). A phone or video conversation covering your background, motivation, and logistics. This is a communication and interest-level check, not a technical round.

3. Take-home or scenario task (varies). Some tracks include a take-home assignment (full-time loops use a 48-hour case study; intern versions are shorter). Platform and engineering roles may use a scenario task such as designing an API instead.

4. Hiring manager meeting. A conversation focused on team fit, role alignment, and how your experience maps to the specific team's work. Expect questions about your past projects and what draws you to Cohere's product surface.

5. Team interviews (format varies by org). SWE candidates face practical scenario tasks. ML and modeling candidates get more theoretical questions. Research candidates may include a live coding component. Interviewers are described as fair and do not penalize for checking documentation during the session.

The interview culture at Cohere skews practical over algorithmic. Community feedback consistently notes that the process favors scenario-based problem solving ("build an API," "design a pipeline") over heavy LeetCode grinding, and interviewers do not penalize you for referencing documentation. That said, the ML and Research tracks expect genuine depth on Transformer internals, distributed training, and model evaluation, so surface-level familiarity will not clear the bar. Glassdoor rates the overall interview difficulty at 3.0 out of 5.0, with ML-specific roles scoring harder.

What Students on Reddit Say

Community threads from students who have been through the process, all paraphrased.

How Do You Stand Out at a Transformer-Pedigree AI Lab?

Three moves, all executable before a posting goes live. First, apply in the first two weeks of a posting appearing on Ashby: rolling admissions plus no published deadline means the first complete applications get first reviewer attention, and at a roughly 1,000-person company, headcount fills quickly. Second, lead with proof over credentials: Cohere's interview loop rewards scenario-based problem solving and practical builds over textbook algorithm drills, so a portfolio project that trains or fine-tunes a Transformer model, evaluates it systematically, and ships a working demo carries more weight than a LeetCode score. Third, match your track to your evidence. The ML track wants distributed training and framework fluency; the SWE track wants production pipeline experience; the Research track wants publication-grade rigor. Applying to the wrong one with the right skills is a common misfire. And if you are targeting the Scholars Program, the bar is curiosity and aptitude, not pedigree, so a clearly articulated research direction and one solid project can clear the threshold.

What Other Companies Should You Consider?

Cohere competes directly with a small set of foundation-model labs for intern talent. If you are building an AI-lab internship list, these are the natural neighbors:

Our tech internships summer 2027 guide maps the whole landscape, timeline by timeline.

FAQ

When do Cohere internship applications open for summer 2027?

Summer intern postings are expected between December 2026 and February 2027 based on prior-cycle patterns. Cohere does not publish fixed deadlines; all tracks use rolling admissions. Set a job alert on the Ashby board.

How much does a Cohere internship pay?

US-based interns earn $56 to $64 per hour ($9,700 to $11,100 per month). Canada-based interns earn $24 to $50 per hour, reflecting geographic pay bands and CAD conversion. A lunch allowance of $25 per day is provided at some office locations.

Does Cohere require a PhD for internships?

Only for the Research Internship. The SWE and ML Intern tracks require current enrollment in any post-secondary program. The Scholars Program is open to early-career researchers and does not require publications.

Is the Cohere internship remote?

Yes. All three intern tracks and the Scholars Program are listed as remote-friendly. Cohere has offices in Toronto, San Francisco, New York, Montreal, London, Paris, and Seoul, but remote work is supported across all tracks.

What is the Cohere interview process like?

A recruiter screen, possible take-home task, hiring manager meeting, and team interviews. The format varies by track: SWE roles use scenario tasks like building an API, ML roles lean theoretical, and Research may include live coding. Interviewers do not penalize for checking documentation. Total process runs about 3 to 4 weeks.

Does Cohere sponsor visas for interns?

The Research Internship explicitly states no H-1B sponsorship. Full-time H-1B sponsorship is available at Cohere. Intern CPT and OPT eligibility is not confirmed on postings. Verify directly with the recruiting team before applying.

What is the Cohere Scholars Program?

An 8-month, remote-first, paid research program starting each January. It targets emerging researchers who do not yet have published work. Alumni have gone on to full-time roles at Cohere, NVIDIA, Stanford, Carnegie Mellon, and Princeton. Applications typically open around August.

How selective is Cohere for interns?

Public data suggests a roughly 7% pass rate across all roles, though that figure carries low confidence. Cohere competes for the same talent pool as OpenAI, Anthropic, and DeepMind, so expect a high technical bar, especially for the ML and Research tracks.

Cohere's rolling admissions reward preparation over timing. A remote Externship gives you a finished, portfolio-ready AI or data project to submit alongside your application when postings go live this winter.