[Remote] Member of Technical Staff, Post training team at Cohere

London, England, United Kingdom

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Research & DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Software DevelopmentModel TrainingScalable SystemsPerformance OptimizationResearch-Production BridgingDeep LearningAI Model Deployment

Questions & Answers

Common questions about this position

Is this position remote-friendly?

Yes, the position is fully remote with no restrictions on location, though the company has offices in London, Paris, Toronto, San Francisco, and New York.

What is the salary for this role?

This information is not specified in the job description.

What skills are required for this position?

Required skills include extremely strong software engineering, proficiency in Python and ML frameworks like JAX, PyTorch, and XLA/MLIR, experience with distributed training infrastructures such as Kubernetes and Slurm, large-scale distributed training strategies, and hands-on experience training large models with a focus on post-training optimization.

What is the company culture like at Cohere?

Cohere emphasizes working hard and moving fast, obsessing over builds, high individual responsibility for model capabilities, a diverse range of perspectives, and a collaborative environment blending engineering and research with top talent.

What makes a strong candidate for this role?

Strong candidates have hands-on experience with post-training large models at scale, proficiency in Python/ML frameworks and distributed systems, plus bonus for publications at top-tier venues like NeurIPS or ICML.

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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