[Remote] Member of Technical Staff, Training Infra Engineer at Cohere

Paris, Île-de-France, France

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

PythonJAXPytorchXLA/MLIRKubernetesSlurmRaySoftware DevelopmentDistributed Training

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position with a remote-friendly policy and offices in London, 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 Training Infra Engineer role?

Required skills include strong software engineering fundamentals, Python proficiency, experience with ML frameworks like JAX, Pytorch, and XLA/MLIR, distributed training infrastructure such as Kubernetes and Slurm, and hands-on experience with large-scale model training.

What is the company culture like at Cohere?

Cohere has an obsessive focus on building, a collaborative and fast-paced environment, and values diverse perspectives.

What makes a strong candidate for this position?

Strong candidates have hands-on experience contributing to training infrastructure, large-scale distributed training, and expertise in Python and ML frameworks, with bonus for publications at top ML conferences.

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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