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Home›Jobs›Cohere›Member of Technical Staff, MLE [Singapore]
Cohere

About Cohere

AI solutions built for enterprise trust and security

🏢 Tech👥 501-1000 employees📅 Founded 2019📍 Grange Park, Toronto, ON💰 $1.5b⭐ 4
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...

🌐 Website💼 LinkedInAll 124 jobs →
Cohere

Member of Technical Staff, MLE [Singapore]

Cohere • Singapore

Posted 20h ago🏠 RemoteMid-LevelMachine learning engineer📍 Singapore
Apply Now →

Skills & Technologies

Machine learningLlmsPythonModel evaluationData analysis

Overview

Cohere is hiring a Member of Technical Staff, MLE to work on training and deploying frontier models for AI systems. You'll engage directly with enterprise customers and leverage advanced modeling techniques. This role requires expertise in machine learning and Python.

Job Description

Who you are

You have a strong background in machine learning, with experience in training and deploying models that push the limits of large language models (LLMs). You understand the intricacies of customer domains and can design custom solutions that meet high-value, real-world needs. Your proficiency in Python allows you to implement advanced modeling techniques effectively. You are comfortable working with enterprise customers and can communicate complex technical concepts clearly. You thrive in collaborative environments, working alongside researchers and engineers who are leaders in their fields. You are committed to contributing to the capabilities of AI models and the value they provide to customers.

Desirable

Experience with model evaluation and data analysis is a plus, as is familiarity with the latest advancements in machine learning techniques. You may also have a background in working with AI systems for content generation, semantic search, or retrieval-augmented generation (RAG). A passion for building impactful AI solutions that serve humanity is essential.

What you'll do

In this role, you will work directly with enterprise customers to understand their unique challenges and design tailored LLM solutions. You will be responsible for training and customizing frontier models, ensuring they are production-ready and capable of solving complex problems. Your work will involve leveraging Cohere’s full stack, including post-training techniques and model evaluations. You will influence the capabilities of Cohere’s foundation models by developing techniques, datasets, and insights that enhance their performance. You will collaborate closely with a diverse team of researchers and engineers, contributing to the mission of scaling intelligence for humanity.

What we offer

Cohere provides a supportive work environment that values mental health and personal enrichment. You will enjoy flexible remote work options, with access to offices in major cities around the world. We offer generous vacation time, including six weeks off, and a comprehensive parental leave policy. Our culture encourages continuous learning and growth, allowing you to expand your skills and impact in the AI field. Join us in shaping the future of AI and making a difference in the world.

Interested in this role?

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