Senior Machine Learning Engineer for Biomolecule Design

4 weeks ago


Cambridge, Massachusetts, United States Flagship Ventures Full time

Flagship Ventures is seeking a skilled Machine Learning Engineer to join our team in the exciting field of biomolecule design. As a key member of our cross-functional team, you will be responsible for developing and deploying machine learning models for sequence design.

The ideal candidate will have a strong background in machine learning, as well as experience in biotech industry or a record of scientific achievement. You will work closely with biologists, bioinformaticians, software developers, and automation engineers to contribute to the development of ML models for a range of therapeutic applications.

Responsibilities:

  • 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.

At Flagship Ventures, we are committed to equal employment opportunity and recognize that experience comes in many forms. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.



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