Research Scholar

Canada

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine LearningIndustries

Requirements

The ideal candidate possesses a strong engineering background, demonstrated through open-source contributions, work experience, or a portfolio, and has a passion for tackling open-ended problems. Strong communication and problem-solving skills, along with resilience in the face of iteration and failure, are essential. Previous academic experience is not a strict requirement, and applications are encouraged from a wide range of backgrounds.

Responsibilities

As a research scholar, you will collaborate with the Cohere engineering team on machine learning and natural language processing research projects, aiming to produce published papers or open-source code. You will contribute to meaningful scholarship in the ML and NLP fields and immerse yourself in frontier AI problems, pushing your research skills to new levels.

Skills

Machine Learning

Research

Content Generation

Semantic Search

RAG

Agents

Efficiency

Multilingual

Safety

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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