Senior Member of Technical Staff, Multimodal AI
About Us
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products designed to solve real-world business problems. We train and deploy frontier models for enterprises building AI systems, believing our work is instrumental to the widespread adoption of AI. We obsess over what we build, with each team member contributing to increasing the capabilities of our models and the value they drive for customers.
Cohere is a global technology company headquartered in Toronto, with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
About the Role
At Cohere, we believe in the power of multimodal AI to revolutionize how we interact with technology. Our engineering teams push boundaries, and we're looking for talented individuals to join us. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for exploration, innovation, and shaping the future of AI.
In July 2025, Cohere's Multimodal team introduced Command A Vision, a flagship vision-language model built for business. Key highlights include:
- Consistently outperforms major models like Llama 4 Maverick, Mistral Medium/Pixtral Large, and GPT-4 (83.1% average benchmark, including 73.5% on MathVista and 90.9% on ChartQA).
- Built for the real world: 112B parameters running on just 2 GPUs.
- Open weights available on HuggingFace.
With a focused team, breakthrough performance doesn't require breakthrough compute. Join us to focus on what truly matters.
Responsibilities
- Design and develop cutting-edge multimodal AI systems, integrating 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 world-class teams, learning from and contributing to their expertise.
Requirements
- Exceptional software engineering skills, with a proven track record of building robust and scalable systems.
- Strong command of Python and 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 and speech-to-text generation.
Nice-to-Have Skills
- Publications in top-tier venues demonstrating expertise in multimodal AI research.
- Experience writing efficient GPU kernels using CUDA to optimize performance for multimodal tasks.
Ideal Candidate Traits
- A deep passion for machine learning and its potential to impact industries through multimodal applications.
- Enjoys tuning and optimizing large multimodal models and has experience building evaluations to measure performance.
- Comfortable diving into complex ML codebases to identify and resolve issues.
- Thrives in a fast-paced, technically challenging environment where innovative ideas are welcomed.
- A history of delivering creative, practical solutions to real-world problems.
Benefits
- A weekly lunch stipend of $75/£75 or equivalent in your local currency.
- Full health and dental benefits, including a separate budget for mental health.
- Retirement savings matching (RRSP, 401K, or Pension Scheme).
- 100% parental leave top-up for up to 6 months for either parent.
- Annual enrichment benefits for arts & culture, fitness/wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days).
- Budget for traveling to other offices if remote, plus an annual company offsite.
Work Environment
Cohere is remote-friendly with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul (with more opening soon).
- For those in the office: Daily lunch program, snacks, and regular community/social events.
- For remote employees: Co-working benefit to work alongside others in your city, plus a $500 home office stipend to set up your workspace.