[Remote] Senior Research Scientist, Cohere Labs at Cohere

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, ResearchIndustries

Requirements

Candidates should have a PhD or equivalent research experience with a strong publication record in machine learning, AI, statistics, or related fields. Expertise or deep curiosity in areas such as efficiency, optimization, reasoning, multimodality, agentic systems, or human-AI collaboration is required, along with solid machine learning and NLP fundamentals and experience in shaping and executing original research. The role also requires the ability to collaborate across disciplines and geographies and a commitment to mentoring and supporting new researchers.

Responsibilities

As a Senior Research Scientist, you will drive an independent, high-impact research agenda on frontier topics in AI. You will have the freedom to ask ambitious questions, explore the unknown, and publish your findings openly, with a particular focus on work that advances science and engages with the societal implications of machine learning. This role involves advancing frontier research with global collaborations, guiding new researchers, and opening doors for broader participation in ML research.

Skills

Machine Learning

Natural Language Processing

AI Research

Frontier AI

Societal Implications of ML

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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