Machine Learning Intern/Co-op (Winter 2026)

Canada

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates must be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship. Proficiency in Python and ML frameworks like Tensorflow, TF-Serving, JAX, and XLA/MLIR is required, along with experience in large-scale distributed training strategies and familiarity with autoregressive sequence models such as Transformers. Strong communication and problem-solving skills, and a passion for applied NLP models and products are essential. Bonus qualifications include experience writing GPU kernels with CUDA, training on TPUs, and publications at top-tier AI venues.

Responsibilities

The Machine Learning Intern will design, train, and improve cutting-edge models, and develop new techniques for safer, better, and faster model training and serving. Responsibilities include training extremely large-scale models on massive datasets, exploring continual and active learning strategies for streaming data, and learning from senior machine learning staff. The intern will also work closely with product teams to develop solutions and contribute to the mission of scaling intelligence.

Skills

Machine Learning

Model Training

Deep Learning

Data Science

Python

Research

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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