Machine Learning Engineer

Next Level Business Services - South San Francisco, CA

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 by developing, deploying, and maintaining machine learning algorithms and systems. This position requires a blend of technical problem-solving skills and a proven track record of delivering innovative machine learning solutions. The ideal candidate will thrive in a dynamic, multidisciplinary research environment and will collaborate closely with various teams to tackle complex challenges in the biomedical space.

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 machine learning models in an industry setting.
• Proficiency in Python.
• Experience with Weights and Biases.
• Familiarity with 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.