ML Engineer – Healthcare Foundation Model Developer

SLAC; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Stanford University seeks a Machine Learning Engineer to advance AI methods for biomedical and clinical applications within the Weill Cancer Hub, emphasizing evaluation for real-world deployment.

Reporting to technical leadership, you will build end-to-end data pipelines and modular ML systems to support training, evaluation, and inference across projects.

Responsibilities

• Support research programs; analyze data, monitor experiments, and design prototypes or systems.
• Collaborate with scientists, engineers, or senior administrators to oversee complex non-routine analyses, select optimum solutions, and modify equipment or system designs.
• Carry out all activities, including troubleshooting and resolving routine problems for scientists or engineers, independently.
• Collaborate with senior engineers and scientists to design and develop special purpose equipment and/or systems.
• Participate in planning, design, and implementation of scientific or engineering initiatives toward project objectives.
• Oversee a laboratory space or unit, and supervise technicians and other staff.
• Review research proposals and capabilities, and make recommendations.
• Establish, communicate, and enforce health and safety policies and procedures.
• Develop training manuals and safety guidelines, and train new instrumentation users and staff.

Job description

Stanford University is seeking a Machine Learning Engineer to support advanced technical research within the Weill Cancer Hub. This role will focus on developing and applying AI and machine learning methods for biomedical and clinical applications, with an emphasis on rigorous evaluation in real-world settings. The goal is to better understand the performance, safety, reliability, transparency, and clinical utility of ML/AI models intended for translational impact and eventual deployment.

Reporting to the program’s technical leadership, and working closely with senior faculty and research staff, the individual will build end-to-end data pipelines and software infrastructure for machine learning research across the Hub. They will develop robust, modular systems for training, evaluation, and inference that can support a range of downstream applications, and will help guide technical decisions around the languages, tools, platforms, and engineering practices used across data and software projects.

About Us:

The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.

You Will Find This Position a Good Fit If:

• You are passionate about transforming raw healthcare data into valuable insights.

• You believe in the critical role of AI in advancing machine learning in healthcare.

• You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams.

• You are excited to work with patient-level data and embrace challenges related to data diversity and complexity.

Duties include:

• Support complex scientific and research programs related to area of specialization; analyze data, monitor and oversee experimental process, and design and develop prototypes, specialized equipment, and/or systems.

• Collaborate with scientists, engineers, or senior administrative officers to oversee complex non-routine analyses, select optimum solutions, and perform corrective modifications to equipment and system designs.

• Carry out all activities, including troubleshooting and resolving routine problems for scientist or engineers, independently.

• Collaborate with senior engineers and scientists to design and develop special purpose equipment and/or systems.

• Participate in the planning, design, and implementation of scientific or engineering initiatives, and work toward project objective.

• Oversee a laboratory space or unit, and supervise the work of technicians and other staff associated with the group.

• Serve as a resource in review of research proposals and research capabilities, and make recommendations.

• Establish, communicate, and enforce compliance with health and safety policies and procedures.

• Develop training manuals and safety guidelines, and train new instrumentation users, researchers, and/or technical staff.

• Perform supervisory duties, including overseeing the work of technicians and other staff associated with the group/project, supervising the regular installation, maintenance, and operation of complex scientific or engineering projects, and training technicians, operators, and others working in particular scientific or engineering function area.

Other duties may also be assigned