Cohere

Senior Member of Technical Staff - Multimodal AI

London, England, United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates must possess exceptional software engineering skills with a proven track record of building robust and scalable systems. A strong command of Python is required, along with familiarity with popular deep learning frameworks such as JAX, PyTorch, and TensorFlow, particularly their multimodal capabilities. Knowledge of distributed training strategies for large-scale multimodal models is essential, as well as familiarity with autoregressive models for tasks like image captioning and speech-to-text generation. Bonus points for publications in top-tier venues related to multimodal AI research and experience in writing efficient GPU kernels using CUDA.

Responsibilities

As a Senior Member of Technical Staff focused on Multimodal AI, you will design and develop cutting-edge multimodal AI systems integrating text, speech, and vision. You will conduct research and experiments on advanced compute infrastructure, exploring novel ideas in multimodal representation learning and transfer learning. Collaborating closely with world-class teams, you will learn from and contribute to their expertise in the field.

Skills

Python
JAX
PyTorch
TensorFlow
CUDA
Distributed Training
Multimodal AI
Autoregressive Models
Image Captioning
Speech-to-Text Generation
GPU Kernels

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.

Key Metrics

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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