Member of Technical Staff MLE North

Cohere
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Research Scientist: Data Science and Machine Learning

Information Management and GDPR Lead

Temperate Rainforest Monitoring Officer

Assistant GIS & Data Officer

Staff Data Scientist

Who are we

Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers.

Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role

At Cohere our Members of Technical Staff are at the forefront of defining and shaping the future of AIpowered products. In this role you will have the opportunity to translate cutting edge research into tangible highperformance products that drive our enterprise forward. You will be working directly on North Coheres allinone secure AI workspace platform driving agent development in RAG tool use and language agents.

With one of the highest computetoengineer ratios in the world we provide an environment where your ideas can flourish and be rapidly brought to market.

Please Note: We have offices in London Toronto and New York but also embrace being remotefriendly in EMEA friendly timezones.

As a Member of Technical Staff you will:

  • Join a small diverse team of engineers in designing building and scaling AI systems that underpin our suite of devcentric enterprise products.

  • Work directly on North Coheres allinone secure AI workspace platform. Here you will drive agent development in RAG tool use and language agents embedded in North.

  • Quickly research and experiment with novel ideas on our supercomputer and data infrastructure ensuring our products remain at the forefront of the industry.

  • Collaborate with top researchers engineers and annotators to create and evaluate data for posttraining LLMs ensuring our products are of the highest quality and performance.

  • Engage with the latest AI and deep learning research staying up to date with leading conferences such as NeurIPS ICLR and AAAI.

  • Leverage product data to understand usage patterns and identify areas for improvement ensuring our products remain relevant and competitive.

  • Work closely with leadership to shape company strategy and goals ensuring our product vision is aligned with our overall business objectives.

You may be a good fit if you have:

  • Extremely strong software engineering skills.

  • Proficiency in Python and related ML frameworks such as Tensorflow TFServing JAX and XLA/MLIR.

  • Deep experience in building and leading a productcentric organisation.

  • Direct experience working as part of a team building Large Language Models.

  • Released multiple features with several iterations.

  • Strong track record of creating and curating largescale datasets.

  • Experience using largescale distributed training strategies.

  • Familiarity with autoregressive sequence models such as Transformers.

  • Ability to collaborate effectively with human annotators and crossfunctional teams.

  • Paper at toptier venues (such as NeurIPS ICML ICLR AIStats MLSys JMLR AAAI Nature COLING ACL EMNLP).

If some of the above doesnt line up perfectly with your experience we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit anAccommodations Request Form and we will work together to meet your needs.

FullTime Employees at Cohere enjoy these Perks:

An open and inclusive culture and work environment

Work closely with a team on the cutting edge of AI research

Weekly lunch stipend inoffice lunches & snacks

Full health and dental benefits including a separate budget to take care of your mental health

100 Parental Leave topup for 6 months for employees based in Canada the US and the UK

Personal enrichment benefits towards arts and culture fitness and wellbeing quality time and workspace improvement

Remoteflexible offices in Toronto New York San Francisco and London and coworking stipend

6 weeks of vacation

Note: This post is coauthored by both Cohere humans and Cohere technology.


Key Skills
ICT,ASP.NET,Gas,Field
Employment Type :Full-Time
Experience:years
Vacancy:1

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.