[Remote] Member of Technical Staff, Agents Modeling at Cohere

New York, New York, United States

Apply Now

Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Machine LearningLLMAgentic LLM systemsReasoningTool useMemoryData-generation techniquesSFTRLHF

Questions & Answers

Common questions about this position

Is this role remote-friendly?

Yes, the role is remote-friendly with a preference for candidates based in Eastern Time; remote or hybrid work is supported, and the company has offices in London, Toronto, San Francisco, and New York.

What skills are required for this position?

Required skills include a PhD in computer science or equivalent experience, strong software engineering skills, proficiency in Python with ML libraries like PyTorch and NumPy, experience with LLMs and agentic frameworks, post-training techniques (SFT, PEFT, RL*), and building synthetic data pipelines.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast to serve customers, values a team of top researchers, engineers, and designers passionate about their craft, and believes diverse perspectives are essential for great products.

What salary or compensation does this role offer?

This information is not specified in the job description.

What makes a strong candidate for this role?

Strong candidates have a PhD or equivalent experience, expertise in ML with LLMs and agentic systems, Python proficiency, and post-training skills; even if your experience doesn't match perfectly, they encourage you to apply if you're excited about the mission.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free