Machine Learning Engineer

Lyell Immunopharma, Inc. South San Francisco , CA 94080

Posted 1 week ago

At Lyell, our vision is to develop curative cell-based immunotherapies for solid tumor cancers. We have innovative science originating from our founders world class labs and a unique and disruptive approach to research and development. Our company is first and foremost focused on understanding the science. We are a learning organization, dependent on deep collaborative relationships between all of our colleagues, partners and founders. Our culture is based on Respect, Science, Courage and Intensity, and it reflects who we are and the environment we are creating.

Position Summary:

Lyell is looking for several Machine Learning Engineers, of all seniority levels, to join the Information Sciences team in South San Francisco or Seattle. Software engineers at Lyell will be responsible for building a cloud native data platform to enable Lyell scientists and collaborators with real-time data access, real-time collaboration, and making meaningful and actionable scientific insights from large data volumes of many different data modalities. Machine learning will be at the core of Lyells mission to developing solutions to treating cancer. We are looking for people who are passionate about data and are interested in making a difference in the world!

Essential Functions:

  • Help design and implement Lyells platform for building, training, and deploying machine learning models at scale on distributed compute in the cloud
  • Help design Lyells cloud-based petabyte-scale data pipelines and storage to ensure that they will support machine learning and advanced analytics on NGS, flow cytometry, imaging data, etc.
  • Apply machine learning / artificial intelligence to come up with novel ways to understand the mechanisms by how the immune system can treat cancer
  • Analyze data generated within Lyell, from our collaborators, and from public cancer resources (ex. TCGA)
  • Research and implement appropriate ML algorithms and tools
  • Provide ML models and use cases to help influence the design of the data platform helping to ensure it will adequately serve the needs of Lyells ML initiatives both present and future
  • Select appropriate datasets, prepare training data, perform statistical analyses, and develop machine learning applications
  • Work collaboratively in cross-functional groups, such as software engineering, biological sciences, data sciences, regulatory, and manufacturing


Preferred Education/Experience:

  • Degree (B.S., M.S. or PhD) in Computer Science, Math, Physics, or biological sciences is preferred, but not required
  • Python, Java, or Scala
  • TensorFlow, Keras, Theano, or Pytorch
  • AWS or Google Cloud
  • Machine learning platforms such as SageMaker, Databricks, H20, etc.
  • Apache Spark
  • Strong SQL skills
  • Data transformation with libraries such as Pandas and Numpy
  • Versioning Jupyter Notebooks with Git
  • Experience building ML models on biological data

Knowledge, Skills and Abilities:

  • Experience with ETL, data lakes, data pipelines, and data warehouses
  • Excellent oral and written communication skills
  • Ability to work independently and collaboratively among cross-functional teams, with a particular understanding for and drive to solve data issues faced by research and clinical scientists
  • Ability to work efficiently, prioritize workflow, meet deadlines and balance competing priorities.
  • Excellent analytical skills and scientific/technical expertise
  • Deploying and/or implementing machine learning models is a bonus


At Lyell, we believe that highest performing teams include people from a wide variety of backgrounds and experiences who respectfully challenge each other. We are committed to building an open, diverse and inclusive culture for all employees.

Weve learned from experience that some of the best people dont always match our requirements perfectly - if youre interested and think you could fit, please dont hesitate to apply.

Lyell is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, citizenship status, national origin, ancestry, sex, sexual orientation, age, religion, creed, physical or mental disability, medical condition, marital status, veteran status or any other characteristics protected under applicable federal, state and local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited or unable to access or use this online application process and need an alternative method for applying, please contact us via our company website.

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Machine Learning Engineer

Lyell Immunopharma, Inc.