[Remote] Software Engineer - Applied ML (US/CAN) at Cohere

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

GoPythonNodeReactNext.jsML infrastructureAI-powered solutionsLarge Language Models (LLMs)

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What programming languages or skills are required?

Proficiency in one or more of Go, Python, Node, React, Next.js is required, along with experience building ML infrastructure and AI-powered solutions, background in developing language models using frameworks like Lang Chain, and a track record in scaling products at hyper-growth startups.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast for customers, values a team of the best in the world who are passionate about their craft, and believes diverse perspectives are required for great products.

What makes a strong candidate for this role?

Strong candidates have proficiency in Go, Python, Node, React, or Next.js, experience with ML infrastructure and language models using Lang Chain, a track record scaling products at hyper-growth startups, and strong communication skills; even if not a perfect match, they encourage applying if passionate 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.

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