Engineering Program Manager, Machine Learning at Cohere

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

Requirements

Candidates should have 3-5 years of experience as an Engineering Program Manager or Technical Program Manager, with at least 2 years working directly on AI/ML-powered products, preferably foundation models. Familiarity with machine learning concepts and experience in a fast-paced, high-growth technology environment is beneficial.

Responsibilities

The Engineering Program Manager will establish and scale team and program-level processes for Generative Machine Learning teams, partner with leadership and technical staff on model design and improvement, and run cross-functional programs involving Product, Engineering, Legal, and Design. This role involves mapping dependencies and risks, ensuring smooth cross-functional execution, communicating status to stakeholders, coordinating with partner teams like Data and Safety, troubleshooting challenges, and managing program-level changes and resource allocation.

Skills

Program Management

Machine Learning

Cross-functional Collaboration

Execution

Strategic Planning

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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