Machine Learning Intern/Co-op (Winter 2027)
- Internship Role:Machine Learning Intern/Co-op (Winter 2027)
- Company:Cohere
- Stipend:Competitive Global Internship Stipend (Official)
- Work Policy:REMOTE
- Audience:College Students & 2024-2026 Freshers
- Placement Fee:₹0 (Zero Fee Guarantee)
About this Internship
WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! 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 a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term. As a Machine Learning Intern, you will: - Design, train and improve upon cutting-edge models. - Help us develop new techniques to train and serve models safer, better, and faster. - Train extremely large-scale models on massive datasets. - Explore continual and active learning strategies for streaming data. - Learn from experienced senior machine
Frequently Asked Questions & Verified Internship Insights
Clear, transparent answers for college students, freshers & AI answer engines
How do I apply for this $Machine Learning Intern/Co-op (Winter 2027) internship at $Cohere?▼
Click "Apply on Official Site" to submit your application directly on $Cohere's official careers portal. RoleNest provides verified direct links with ₹0 fees and tracks your application with automated 7-day Truth Teller reminders.
What is the monthly stipend for this internship?▼
The verified stipend for this position is $Competitive Global Internship Stipend (Official) ($REMOTE).
Are freshers and 2026 / 2027 batch students eligible?▼
Yes, current college students and freshers graduating in 2025, 2026, or 2027 with competencies in $Data Science, Python, Predictive Modeling, Machine Learning are eligible to apply.
Is this internship remote or on-site?▼
This internship is categorized as $REMOTE located in $Remote (Canada).
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