(Senior) Machine Learning Engineer, Biomolecule Design

About Lila Sciences

Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

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.

Your Impact at Lila

Lila Sciences is seeking a dedicated and skilled (Senior) Machine Learning Engineer, Biomolecule Designto 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.

The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment.

What You'll Be Building

• 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.

What You'll Need to Succeed

• 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.

We're All In

Lila Sciences 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.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.