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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.
Job Responsibility:
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
Requirements:
Exceptional software engineering skills with a proven track record of building robust and scalable systems
Strong command of Python and 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
Nice to have:
Publications in top-tier venues demonstrating your expertise in multimodal AI research
Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks
What we offer:
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 up to 6 months
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, London and Paris, as well as a co-working stipend