Cohere

Manager of Technical Staff, Agent Code Teams

Europe

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Research & Development, AI & Machine LearningIndustries

Requirements

Candidates should possess a PhD in Computer Science, Machine Learning, or a related field, with a proven track record of publications in top-tier academic conferences such as NeurIPS, ICML, ICLR, ACL, or EMNLP. Strong expertise in code LLMs, agents, and related research areas is essential, along with experience in designing and implementing scalable training strategies and agent frameworks. Familiarity with frontier LLMs and state-of-the-art compute infrastructure is also required.

Responsibilities

As the Lead for the Agent Code Teams, you will stay current with the latest research, design and implement scalable strategies for training code models and deploying agent frameworks, conduct experiments on compute infrastructure, collaborate with cross-functional teams to integrate agent systems, and mentor team members while fostering a culture of innovation and continuous learning.

Skills

Code LLMs
Autonomous Agents
Research in Machine Learning
Scalable System Design
Experimentation on Compute Infrastructure
Cross-functional Collaboration
Mentoring
Innovation
Deep Learning
Natural Language Processing

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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