Cohere

About Cohere

AI solutions built for enterprise trust and security

🏢 Tech👥 501-1000 employees📅 Founded 2019📍 Grange Park, Toronto, ON💰 $1.5b4
B2BArtificial IntelligenceMachine LearningSaaS

Key Highlights

  • Headquartered in Grange Park, Toronto, ON
  • $1.5 billion in funding from top investors
  • Clients include Royal Bank of Canada, Fujitsu, and Oracle
  • Focus on AI solutions for regulated industries

Cohere, headquartered in Grange Park, Toronto, ON, specializes in enterprise-grade AI solutions tailored for regulated industries such as banking and telecom. With $1.5 billion in funding, Cohere has secured contracts with major clients including Royal Bank of Canada, Fujitsu, and Oracle, providing ...

🎁 Benefits

Cohere offers comprehensive benefits including 100% coverage for health, dental, and vision insurance premiums, a $2,000 annual education benefit, six...

🌟 Culture

Cohere's culture emphasizes security and trust in AI adoption, focusing on enterprise needs rather than consumer trends. The company prioritizes a sup...

Cohere

Ai Engineer Mid-Level

CohereLondon - Hybrid

Apply Now →

Overview

Cohere is hiring a Member of Technical Staff, Post-Training to advance the state of the art for model post-training and ship state-of-the-art models to production. You'll work with Python, TensorFlow, and PyTorch in London, with a hybrid work model.

Job Description

Who you are

You have a strong background in AI and machine learning, with experience in model training and deployment — you've contributed to projects that bridge the gap between research and production, ensuring that cutting-edge models are effectively utilized in real-world applications. Your proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch enable you to write production-quality code while supporting research efforts. You thrive in collaborative environments where diverse perspectives are valued, and you are eager to contribute to a team that is passionate about scaling intelligence to serve humanity.

Desirable

Experience with large-scale AI systems and a deep understanding of model post-training techniques are highly desirable. Familiarity with cloud computing platforms and tools for managing AI workloads will give you an edge in this role. You are comfortable working in a fast-paced environment and are motivated by the impact of your work on the adoption of AI technologies.

What you'll do

As a Member of Technical Staff, you will design and implement innovative solutions for model post-training, ensuring that our AI models are not only state-of-the-art but also ready for deployment in production environments. You will collaborate closely with researchers and engineers to enhance the capabilities of our models, contributing to the development of AI systems that power applications like content generation and semantic search. Your role will involve writing production code, conducting experiments, and analyzing results to drive improvements in model performance. You will also participate in discussions about the strategic direction of our AI initiatives, helping to shape the future of AI at Cohere.

What we offer

Cohere provides a supportive and inclusive work environment where you can thrive. We offer a hybrid work model that allows for flexibility between remote work and office presence in London. Our benefits include a generous vacation policy, mental health support, and personal enrichment opportunities. You will have access to cutting-edge resources and a team of talented individuals who are committed to pushing the boundaries of AI technology. Join us in our mission to scale intelligence and make a meaningful impact on the world.

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