[Remote] Research Internship (Winter 2026) at Cohere

Canada

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates
Eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period
Experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state-of-the-art ML models
Familiar with autoregressive sequence models, such as Transformers
Strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly
Knowledge of programming languages such as Python, C, C++, Lua, or related languages
Knowledge of ML frameworks such as JAX, PyTorch, and TensorFlow
Previous experience in building systems based on machine learning and deep learning techniques
Demonstrate passion for applied NLP models and products
Preferred qualifications: demonstrated expertise through publications in top-tier venues in ML, NLP, AI, CV, optimization, CS, statistics, applied math, or data science; proven ability to tackle analytical problems using quantitative methodologies; proficiency in handling and analyzing complex, high-dimensional data; experience applying theoretical and empirical research to real-world problem-solving

Responsibilities

Conduct cutting-edge machine learning research, building and training large language models
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and related areas such as evaluation, multimodal models, and optimization
Disseminate research results through the production of publications, datasets, and code
Contribute to research initiatives that have practical applications in Cohere’s product development

Skills

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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