Senior Member of Technical Staff (Multimodal AI)

Join our engineering team as a Senior Member of Technical Staff (Multimodal AI). In this role, you will design and develop cutting-edge multimodal AI systems, conduct research and experiments, and collaborate closely with world-class teams. Enjoy a range of benefits including six weeks of paid vacation, equity options, comprehensive insurance coverage, and a remote work culture.

• Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision.
• Conduct research and experiments on 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 in the field.
• If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
• 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!
• Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems
• Knowledge of distributed training strategies, especially for large-scale multimodal models
• 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
• Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation
• 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
• 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
• Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions
• Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems
• Have a history of delivering creative, practical solutions to real-world problems, demonstrating your ability to think outside the box