Senior Member of Technical Staff Multimodal AI
Senior Member of Technical Staff Multimodal AI

Senior Member of Technical Staff Multimodal AI

Full-Time 72000 - 108000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop cutting-edge multimodal AI systems integrating text, speech, and vision.
  • Company: Cohere is on a mission to scale intelligence for humanity through innovative AI solutions.
  • Benefits: Enjoy remote flexibility, weekly lunch stipends, full health benefits, and 6 weeks of vacation.
  • Why this job: Join a diverse team at the forefront of AI, shaping the future with your innovative ideas.
  • Qualifications: Exceptional software engineering skills, strong Python knowledge, and familiarity with deep learning frameworks required.
  • Other info: Open to applicants worldwide; we celebrate diversity and inclusivity in our work environment.

The predicted salary is between 72000 - 108000 £ 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, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what’s possible, and we’re looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI.

As a Member of Technical Staff with a focus on Multimodal AI, you will:

  • Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision.
  • Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more.
  • Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field.

You Are An Ideal Candidate If You:

  • Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems.
  • Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities.
  • Knowledge of distributed training strategies, especially for large-scale multimodal models.
  • Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation.
  • Bonus: Publications in top-tier venues demonstrating your expertise in multimodal AI research.
  • Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks.

This Role Is Perfect For You If You:

  • Have a deep passion for machine learning and its potential to impact various industries through multimodal applications.
  • Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance.
  • Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
  • Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.
  • Have a history of delivering creative, practical solutions to real-world problems, demonstrating your ability to think outside the box.

If you’re excited about the potential of multimodal AI and want to be at the forefront of this rapidly evolving field, we want to hear from you! Join us at Cohere and be a part of a diverse, remote-friendly team that’s changing the world of AI.

Please Note: We have offices in Toronto, London, San Francisco, and New York, but we welcome applications from anywhere in the world. Our team is spread across the globe, and we embrace the benefits of a remote-friendly culture.

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

Note: This post is co-authored by both Cohere humans and Cohere technology.

Senior Member of Technical Staff Multimodal AI employer: Cohere

Cohere is an exceptional employer that fosters a culture of innovation and collaboration, where every team member contributes to groundbreaking advancements in multimodal AI. With a remote-friendly environment and offices in major cities like London, employees enjoy generous benefits including a weekly lunch stipend, comprehensive health coverage, and six weeks of vacation, all while working alongside some of the brightest minds in the industry. The company prioritises diversity and inclusion, ensuring that all voices are heard and valued, making it a truly rewarding place to grow your career.
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Contact Detail:

Cohere Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Member of Technical Staff Multimodal AI

✨Tip Number 1

Familiarise yourself with the latest advancements in multimodal AI. Follow relevant research papers and industry news to understand current trends and challenges. This knowledge will help you engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the AI field, especially those working on multimodal systems. Attend conferences, webinars, or local meetups to connect with like-minded individuals and learn from their experiences.

✨Tip Number 3

Showcase your passion for machine learning by contributing to open-source projects or writing articles about your experiences with multimodal AI. This demonstrates your commitment and can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss specific projects where you've implemented multimodal AI techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.

We think you need these skills to ace Senior Member of Technical Staff Multimodal AI

Software Engineering
Python Programming
Deep Learning Frameworks (JAX, PyTorch, TensorFlow)
Multimodal Representation Learning
Transfer Learning
Distributed Training Strategies
Autoregressive Models
Image and Video Captioning
Speech-to-Text Generation
Performance Optimisation
CUDA Programming
Machine Learning Codebase Management
Problem-Solving Skills
Research and Experimentation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your software engineering skills and experience with multimodal AI systems. Emphasise your proficiency in Python and any relevant deep learning frameworks like JAX, PyTorch, and TensorFlow.

Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it can impact various industries. Mention specific projects or experiences that demonstrate your ability to innovate and solve real-world problems.

Showcase Relevant Experience: If you have publications in top-tier venues or experience with GPU kernels using CUDA, make sure to include these in your application. Highlight any work related to distributed training strategies or autoregressive models.

Demonstrate Cultural Fit: Cohere values diversity and an inclusive work environment. In your application, reflect on how your unique perspective and experiences can contribute to their mission and culture.

How to prepare for a job interview at Cohere

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python and deep learning frameworks like JAX, PyTorch, and TensorFlow. Highlight specific projects where you've successfully implemented multimodal AI systems, as this will demonstrate your technical prowess.

✨Demonstrate Problem-Solving Abilities

Expect to face technical challenges during the interview. Be ready to explain how you've tackled complex ML codebases in the past, and share examples of how you identified and resolved issues to ensure smooth operations.

✨Emphasise Collaboration and Learning

Cohere values teamwork and knowledge sharing. Prepare to discuss how you've collaborated with others in previous roles, and express your eagerness to learn from the world-class teams at Cohere while contributing your own expertise.

✨Express Passion for Multimodal AI

Convey your enthusiasm for machine learning and its potential impact across industries. Share your thoughts on the future of multimodal AI and how you envision contributing to Cohere's mission of scaling intelligence to serve humanity.

Senior Member of Technical Staff Multimodal AI
Cohere
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  • Senior Member of Technical Staff Multimodal AI

    Full-Time
    72000 - 108000 £ / year (est.)

    Application deadline: 2027-07-09

  • C

    Cohere

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