Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings
The Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings role at Lila Sciences is targeted at talented machine learning professionals eager to work at the intersection of AI and scientific discovery. Joining a cross-disciplinary team, you will collaborate with experts spanning biology, chemistry, and computational research to advance cutting-edge multi-modal AI models able to reason across large scientific datasets. Lila Sciences is a mission-driven company that leverages artificial intelligence to unlock scientific insights, working with both industry partners and academic collaborators in an exciting, rapidly evolving space.
In this role, you will engage in designing, experimenting with, and implementing new algorithms and models that can integrate and interpret data from multiple scientific domains including text, imagery, and molecular structures. Your day-to-day tasks will include prototyping, analyzing, and refining machine learning architectures, training large-scale models, and interpreting results in the context of scientific challenges. Collaboration with both internal research teams and external subject-matter experts is core to realizing project goals and pushing the boundaries of scientific reasoning using AI.
Successful candidates will have a strong foundation in machine learning fundamentals, with hands-on experience in deep learning, natural language processing, or multi-modal AI systems. Candidates should hold an advanced degree in computer science, computational biology, applied mathematics, or a related quantitative field, or have equivalent experience. Familiarity with PyTorch or TensorFlow, comfort working with large scientific datasets, and demonstrated ability to build and evaluate new models are required. Candidates at all career stages are encouraged to apply, with expectations adjusted based on experience and impact potential.
Lila Sciences offers a competitive compensation package, including a strong base salary, equity grants, and full health, dental, and vision coverage. Employees enjoy flexible work arrangements, generous paid leave, and professional development support, making this an excellent opportunity for those seeking impact and growth in a high-caliber environment. The company fosters a collaborative, mission-driven workplace that values curiosity, innovation, and a willingness to solve challenging scientific problems with AI-driven solutions.