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Machine Learning Application Engineer II

Maze TherapeuticsSouth San Francisco, CA
On-site Full-time $154K/yr - $154K/yr

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Experience Level

Experience

Qualifications

Key ResponsibilitiesFacilitate the management of large-scale biobank datasets in Polaris, our internal platform, by creating scalable data ingestion, cleaning, processing, and validation pipelines. Collaborate with scientific computing teams to design and implement machine learning models that support workflows in research and small molecule drug discovery, including compound property prediction and data analysis.

About the job

Maze Therapeutics applies precision medicine to address both common and rare diseases. The Machine Learning Application Engineer II role is based in South San Francisco and focuses on building and improving production-ready solutions that advance drug discovery efforts.

Role overview

This position centers on designing and developing data and machine learning infrastructure that supports different stages of drug discovery, from early research through lead optimization and development. The work involves refining existing systems to improve reliability and scalability while ensuring alignment with scientific objectives.

What you will do

  • Design and develop infrastructure for data and machine learning to support multiple phases of drug discovery.
  • Enhance current systems to improve reliability, scalability, and scientific relevance.
  • Apply FAIR data principles to maintain strong standards in data management and engineering.
  • Collaborate with scientific and engineering teams to deliver solutions that enable data-driven research.

Reporting structure

This role reports to a Senior Data Engineer.

About Maze Therapeutics

Maze Therapeutics is at the forefront of precision medicine, aiming to transform patient care through innovative approaches to drug discovery and development. We are dedicated to providing solutions that meet the specific needs of patients with both common and rare diseases.

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