Deep Learning Engineer

Join a cutting-edge Silicon Valley startup that's revolutionizing biology and medicine through Generative AI. As a Deep Learning Engineer, you'll be at the forefront of developing and implementing Large Biological Models (LBM), working with a team of leading innovators in AI and Biological Science.

The role combines sophisticated machine learning engineering with practical applications in healthcare and biology. You'll be responsible for building and maintaining the entire foundation model lifecycle, from data pipelines to model deployment. This position offers the unique opportunity to work with state-of-the-art technologies while contributing to groundbreaking advancements in biomedicine.

The ideal candidate will bring strong technical expertise in deep learning frameworks, distributed systems, and modern software development practices. You'll work in a collaborative environment, interfacing with data engineers and research scientists to bring complex models into production. The position requires a blend of theoretical knowledge and practical implementation skills in machine learning, particularly in the context of biological data.

With offices in both Silicon Valley and Paris, you'll be part of a global team pushing the boundaries of what's possible in AI-driven biological research. The company offers the excitement of a startup environment combined with the opportunity to work on meaningful problems that could transform healthcare and biological research.

This role is perfect for someone who is passionate about both software engineering and its applications in life sciences, offering the chance to work on challenging technical problems while contributing to potentially life-changing medical advancements.