Senior Member of Technical Staff, Multimodal AI

Who are we?

Cohere is the leading security‑first enterprise AI company. We build cutting‑edge foundation AI models and end‑to‑end products that are designed to solve real‑world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company co‑headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

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.

July 31st 2025 – Cohere’s Multimodal team introduced Command A Vision:
Multimodal AI built for Business. At release our new flagship vision‑language model:

• Consistently outperforms major models such as Llama 4 Maverick, Mistral Medium/Pixtral Large, and GPT‑4.1
• 83.1% average benchmark (73.5% Math Vista, 90.9% ChartQA)
• Built for the real world – 112B parameters running on just 2 GPUs
• Open weights live on Hugging Face

With a focused team, breakthrough performance doesn’t require breakthrough compute. Focus on the things that matter, and join the team.

• 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.

• 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 Tensor Flow, 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.

• 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…