[Remote] Machine Learning Intern/Co-op (Winter 2026) at Cohere

Canada

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

Machine LearningModel TrainingDeep LearningData SciencePythonResearchAI

Questions & Answers

Common questions about this position

What skills are required for the Machine Learning Intern position?

Required skills include proficiency in Python and ML frameworks like Tensorflow, TF-Serving, JAX, and XLA/MLIR; experience with large-scale distributed training; familiarity with autoregressive sequence models like Transformers; and strong communication and problem-solving skills.

What is the compensation for this internship?

This information is not specified in the job description.

Is this a remote position or does it require being in the office?

This information is not specified in the job description.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast for customers, values a diverse team of top experts passionate about their craft, and seeks thoughtful workers, lifelong learners, and kind, playful team members.

What are the eligibility requirements and tips for applying to this internship?

You must be a student enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research term. Even if your experience doesn't perfectly match, apply if you're a thoughtful worker, lifelong learner, and kind team member; bonus for GPU/TPU experience or top-tier papers.

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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