Senior Machine Learning Engineer

Freenome is seeking a Senior Machine Learning Research Engineer to join their Machine Learning Science team within the Computational Science department. The role involves developing and deploying infrastructure for deep learning models, optimizing model training, and collaborating with interdisciplinary teams to advance AI/ML systems aimed at reducing cancer mortality.

Responsibilities:

• Implement and refine DL pipelines on distributed computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference
• Collaborate closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines you create are perfectly aligned with scientific goals and operational needs
• Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability
• Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn and adapt new tools and frameworks, if necessary
• Develop and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines
• Act as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement