Cohere

Machine Learning Intern/Co-op (Fall 2025)

Canada

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Research & DevelopmentIndustries

Requirements

Candidates 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, and possess a strong interest in machine learning. Prior experience with machine learning models and datasets is preferred, as well as familiarity with training and deployment pipelines.

Responsibilities

As a Machine Learning Intern, you will design, train, and improve upon cutting-edge models, help develop new techniques to train and serve models safely and efficiently, train extremely large-scale models on massive datasets, explore continual and active learning strategies, and work closely with product teams to develop solutions. You may also be involved in learning from experienced senior machine learning technical staff.

Skills

Machine Learning

Model Training

Model Improvement

Data Handling

Research & Development

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.

Key Metrics

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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