[Remote] Member of Technical Staff, Multilingual at Cohere

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Natural Language ProcessingIndustries

Skills

Key technologies and capabilities for this role

Data EngineeringData CollectionData CleaningData PreparationMultilingual AIPythonMachine LearningLanguage Modeling

Questions & Answers

Common questions about this position

Is this position remote-friendly?

Yes, the position is remote-friendly with applicants able to work anywhere between UTC−06:00 and UTC+01:00, though the company has offices in London, Toronto, and New York.

What are the key skills required for this role?

Key requirements include a Bachelor's degree in Computer Science or related field (Master's preferred), experience analyzing datasets for ML model quality and suitability, strong Python software engineering skills, and understanding of data structures, algorithms, and software design.

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 top experts in research, engineering, and design with diverse perspectives, and emphasizes individual responsibility for model capabilities.

What makes a strong candidate for this position?

A strong candidate is passionate about languages and AI, has a keen eye for detail and coding talent, and is a self-starter who works independently and delivers results efficiently.

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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