Machine Learning Scientist

INFO SALARY

$200000 - $250000 LOCATION San Francisco

JOB TYPE

Permanent Machine Learning Scientist Remote (USA only) About the Role A frontier AI-driven bio-tech company is hiring a Machine Learning Scientist to help develop next-generation foundation models at the intersection of AI and biology. This is an individual contributor role for a researcher who enjoys taking ideas from concept to experimentation, working on challenging problems, and collaborating with a highly technical team. Responsibilities Design, train, and evaluate state-of-the-art machine learning and foundation models. Rapidly prototype and test new research ideas. Develop benchmark tasks and evaluation frameworks. Collaborate closely with researchers, scientists, and engineers. Contribute to publications and technical presentations. Ideal Background PhD in Computer Science, Machine Learning, AI, Physics, Mathematics, Computational Neuroscience, or a related quantitative field. Strong publication record at leading conferences such as NeurIPS, ICML, ICLR, CVPR, or equivalent venues. Experience building models in PyTorch and conducting original machine learning research. Background in foundation models, LLMs, computer vision, multimodal learning, generative AI, robotics, or scientific machine learning. Biology experience is a plus but not required. Exceptional researchers from computer vision, language modeling, robotics, autonomous driving, and other highly quantitative fields are encouraged to apply. Why Join? Work on cutting-edge machine learning research with real-world impact. Collaborate with world-class researchers and scientists. Help shape the future of AI-driven scientific discovery. CONTACT Calum Reid Senior Manager