Senior Member of Technical Staff - Multimodal AI at Cohere

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

PythonJAXPyTorchTensorFlowCUDADistributed TrainingMultimodal AIAutoregressive ModelsImage CaptioningSpeech-to-Text GenerationGPU Kernels

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position.

What is the salary for this position?

This information is not specified in the job description.

What skills are required for this Senior Member of Technical Staff role?

Candidates need a proven track record of building robust and scalable systems, strong command of Python, proficiency in JAX, PyTorch, and TensorFlow with multimodal capabilities, knowledge of distributed training strategies for large-scale multimodal models, and familiarity with autoregressive models in multimodal tasks.

What is the company culture like at Cohere?

Cohere values hard work, speed, customer focus, obsession over building, and diversity of perspectives. They are a team of diverse professionals passionate about their craft, focused on scaling intelligence to serve humanity.

What makes a strong candidate for this role?

A strong candidate has a proven track record in software engineering for scalable systems, expertise in Python and deep learning frameworks like JAX, PyTorch, and TensorFlow for multimodal AI, plus knowledge of distributed training and autoregressive models; bonus for CUDA experience and top-tier publications.

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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