Member of Technical Staff, Modeling at Cohere

London, England, United Kingdom

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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

PythonTensorFlowTF-ServingJAXXLA/MLIRCUDADistributed TrainingTransformersSequence Models

Questions & Answers

Common questions about this position

What is the salary for this Member of Technical Staff role?

This information is not specified in the job description.

Is this position remote or hybrid, and where are the offices located?

The position is hybrid, with offices in Toronto, London, San Francisco, and New York, and the company embraces remote-friendly work.

What skills are required for this modeling role at Cohere?

Required skills include strong software engineering, Python proficiency, experience with ML frameworks like TensorFlow, TF-Serving, JAX, and XLA/MLIR, and CUDA proficiency for GPU kernels. Beneficial experience includes distributed training and familiarity with autoregressive sequence models like Transformers.

What is the company culture like at Cohere?

Cohere fosters a collaborative, fast-paced environment with a team of researchers, engineers, and designers passionate about building diverse and innovative AI products, blending research and engineering without strong delineations.

What makes a strong application for this role even if it's an expression of interest?

Highlight your enthusiasm and relevant skills in your resume submission, as Cohere welcomes applications from diverse backgrounds even if they don't perfectly match the requirements.

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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