(Senior) Machine Learning Engineer, Biomolecule Design

(Senior) Machine Learning Engineer, Biomolecule Design Cambridge, MA USA Company Summary Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. The Role Lila Sciences is seeking a dedicated and skilled (Senior) Machine Learning Engineer, Biomolecule Design to join our team. Leveling is flexible based on experience. This role will focus on MLOps for training in large scale ML models of Protein, RNA and DNA. You will be part of a dynamic, cross-functional team responsible for developing and deploying machine learning models for sequence design. Working closely with biologists, bioinformaticians, software developers, and automation engineers, you will contribute to the development of ML models for a range of therapeutic applications. Responsibilities include: Developing, training, and deploying machine learning models for Protein/RNA/DNA sequence design. Implementing MLOps practices to streamline the model development and deployment process. Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs. Gathering and pre-processing public datasets with bioinformatics tools to pre-train ML models. Implementing rigorous testing, documentation, and model benchmarking. Qualifications: Master\’s degree in computer science, computational biology, physics, or other quantitative disciplines. Experience with MLOps practices and tools including version control, automated testing, and CI/CD. Experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem. Experience with large language models (e.g. autoregressive LLMs) for biological sequences is a plus. Familiarity with bioinformatics tools and databases for pre-processing and analyzing biological sequence data. Working at Lila, you would have access to advanced technology in the areas of: AI experimental design and simulation. Automated liquid handling and instrumentation. Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. #J-18808-Ljbffr