Avispa - South San Francisco, CA

posted about 1 month ago

Full-time - Mid Level
South San Francisco, CA
Professional, Scientific, and Technical Services

About the position

The Machine Learning Engineer will play a crucial role in transforming the drug discovery process through the development, deployment, and maintenance of machine learning algorithms and systems. This position requires collaboration across various teams within the Computational Services organization to foster innovation and excellence in research and development.

Responsibilities

  • Develop and deploy machine learning models in production environments, ensuring scalability and reliability.
  • Solve core research engineering challenges related to the design, implementation, and scaling of machine learning algorithms.
  • Collaborate with cross-functional teams including research scientists, computational biologists, and data engineers to address complex problems.
  • Build solutions that enable stakeholders to interact with and analyze multimodal datasets.

Requirements

  • B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred).
  • 4+ years of experience developing and applying ML models in an industry setting, particularly in the biomedical space.
  • Direct experience in Research and Development.
  • Proficiency in Python.
  • Experience with Weights and Biases.
  • Proficiency in MLOps workflows, including code version control and machine learning experiment monitoring.
  • Extensive experience with machine learning frameworks and libraries such as JAX, PyTorch, PyTorch Lightning, and Tensorflow.
  • Strong background in statistics, probabilistic modeling, and data analysis.
  • Strong communication skills to convey technical concepts to both technical and non-technical audiences.
  • Experience collaborating with external scientific partners, such as academic institutions or industry research groups.
  • A passion for solving complex technical problems and a commitment to staying current with developments in machine learning.

Benefits

  • Hourly pay: $70-$90/hr based on experience
  • Group Medical, Dental, Vision, Life Insurance
  • Retirement Savings Program
  • Paid Sick Leave (PSL)
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