Member of Technical Staff, MLE (North)
Member of Technical Staff, MLE (North)

Member of Technical Staff, MLE (North)

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a diverse team to design and scale AI systems for innovative enterprise products.
  • Company: Cohere is on a mission to enhance AI capabilities for developers and enterprises.
  • Benefits: Enjoy remote flexibility, health benefits, weekly lunches, and 6 weeks of vacation.
  • Why this job: Shape the future of AI while collaborating with top experts in a fast-paced environment.
  • Qualifications: Strong software engineering skills, experience with ML frameworks, and familiarity with large language models.
  • Other info: Diversity is celebrated; all backgrounds are encouraged to apply.

The predicted salary is between 36000 - 60000 £ per year.

Who are we? Our mission is to scale intelligence to serve humanity. We’re 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 what’s 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 AI-powered products. In this role, you will have the opportunity to translate cutting edge research into tangible, high-performance products that drive our enterprise forward. You will be working directly on North, Cohere’s all-in-one secure AI workspace platform, driving agent development in RAG, tool use, and language agents. With one of the highest compute-to-engineer 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 remote-friendly 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 dev-centric enterprise products.
  • Work directly on North, Cohere’s all-in-one secure AI workspace platform.
  • 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 post-training 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, TF-Serving, JAX, and XLA/MLIR.
  • Deep experience in building and leading a product-centric 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 large-scale datasets.
  • Experience using large-scale distributed training strategies.
  • Familiarity with autoregressive sequence models, such as Transformers.
  • Ability to collaborate effectively with human annotators and cross-functional teams.
  • Paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

If some of the above doesn’t 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 an Accommodations Request Form, and we will work together to meet your needs.

Full-Time 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, in-office lunches & snacks.
  • Full health and dental benefits, including a separate budget to take care of your mental health.
  • 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK.
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement.
  • Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend.
  • 6 weeks of vacation.

Member of Technical Staff, MLE (North) employer: Cohere

Cohere is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every team member contributes to shaping the future of AI. With a commitment to employee growth, we offer extensive benefits including a generous vacation policy, mental health support, and opportunities to collaborate with top-tier professionals in the field. Our remote-friendly approach and diverse team ensure that your ideas can flourish in an environment that values creativity and hard work.
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Contact Detail:

Cohere Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Member of Technical Staff, MLE (North)

✨Tip Number 1

Familiarise yourself with Cohere's products, especially the North platform. Understanding its features and capabilities will allow you to speak knowledgeably about how you can contribute to its development during interviews.

✨Tip Number 2

Stay updated on the latest AI research and trends, particularly in areas like RAG and language agents. Being able to discuss recent advancements or relevant papers can demonstrate your passion and expertise in the field.

✨Tip Number 3

Network with current or former employees of Cohere through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 4

Prepare to showcase your experience with large-scale datasets and distributed training strategies. Be ready to discuss specific projects where you've applied these skills, as they are crucial for the role you're applying for.

We think you need these skills to ace Member of Technical Staff, MLE (North)

Strong Software Engineering Skills
Proficiency in Python
Experience with ML Frameworks (TensorFlow, TF-Serving, JAX)
Building and Leading Product-Centric Organisations
Experience with Large Language Models
Feature Release Management
Creating and Curating Large-Scale Datasets
Large-Scale Distributed Training Strategies
Familiarity with Autoregressive Sequence Models (Transformers)
Collaboration with Cross-Functional Teams
Research Publication at Top-Tier Venues
Data Analysis and Usage Pattern Identification
Adaptability to New Research and Technologies
Effective Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your software engineering skills, particularly in Python and ML frameworks like TensorFlow and JAX. Emphasise any experience you have with Large Language Models and distributed training strategies.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Cohere's mission. Mention specific projects or experiences that demonstrate your ability to contribute to their team and the development of AI-powered products.

Showcase Relevant Projects: Include details about any relevant projects you've worked on, especially those involving agent development, data curation, or collaboration with cross-functional teams. Highlight any papers you've published at top-tier venues to showcase your expertise.

Research Cohere: Familiarise yourself with Cohere's products and their impact on the AI industry. Understanding their all-in-one secure AI workspace platform, North, will help you articulate how you can contribute to their goals during the application process.

How to prepare for a job interview at Cohere

✨Showcase Your Technical Skills

Make sure to highlight your strong software engineering skills, especially in Python and ML frameworks like TensorFlow or JAX. Be prepared to discuss specific projects where you've built or contributed to large language models.

✨Demonstrate Your Research Knowledge

Familiarise yourself with the latest AI and deep learning research, particularly from top-tier conferences like NeurIPS and ICLR. Being able to discuss recent advancements and how they relate to Cohere's mission will impress your interviewers.

✨Emphasise Collaboration Experience

Cohere values teamwork, so be ready to share examples of how you've effectively collaborated with cross-functional teams. Discuss any experiences working with human annotators or in product-centric organisations to showcase your ability to work well with others.

✨Align with Cohere's Mission

Express your passion for AI and how it can serve humanity. Show that you understand Cohere's mission and are excited about contributing to the development of AI-powered products that drive value for customers.

Member of Technical Staff, MLE (North)
Cohere

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  • Member of Technical Staff, MLE (North)

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-07-10

  • C

    Cohere

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