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Machine Learning Engineer

University of California, San Francisco
San Francisco, USA
Full-time
Senior · 6+ years experience
Onsite
Discovered Today
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REQUIRED QUALIFICATIONS

  • Bachelor's degree in Computer Science, Computer Engineering, or related area and / or equivalent experience / training.
  • 6 years of experience in positions of increasing responsibility designing, implementing, and maintaining complex AI/ML applications.
  • Experience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.
  • Demonstrated advanced knowledge of full software development lifecycle
  • Advanced experience with Python; ability to write clean, efficient, and production-level Python code
  • Advanced experience with SQL (e.g., SQLServer, PostgreSQL)
  • Demonstrated experience deploying, monitoring, and maintaining AI/ML models and pipelines
  • Advanced experience in database systems, data warehousing solutions, and understanding of ETL pipelines
  • Advanced experience in designing, building, or maintaining data infrastructure for efficient ML model training and inference.
  • Demonstrated experience working with MLOps, DevOps, and CI/CD pipeline toolsets
  • Experience in developing complex, automated testing
  • Experience with cloud-based architecture in platforms such as AWS, GCP, Azure
  • Demonstrated effective communication and interpersonal skills
  • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization
  • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines
  • Demonstrated broad problem-solving skills
  • Demonstrated ability to interface with management on a regular basis
  • Excellent project leadership and management skills.

PREFERRED QUALIFICATIONS

  • Master’s Degree or PhD in Computer Science, Computer Engineering, or related area and / or equivalent experience / training.
  • Experience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environment
  • Familiar with data visualization tools (e.g., Tableau)
  • Experience with Epic data structures
  • Epic Clarity Certification
  • Cloud Development certifications
  • Responsibilities
  • %
  • of time
  • Essential Function (Yes/No )
  • Key Responsibilities
  • (To be completed by Supervisor)
  • 10%
  • Yes
  • Applies advanced software concepts to plan, design, develop, modify, debug, deploy and evaluate highly complex software for functional areas. Analyzes existing highly complex software or works to formulate logic and devises algorithms for new highly complex software systems. Performs highly complex data analysis and tests / debugs highly complex software, working directly with management. Initiates, analyzes, designs and applies highly complex data sources. Applies and enforces complex programming security practices.
  • Specifies, develops and executes complex test plans. Develops conversion and system implementation plans. Performs or directs highly complex data modeling, performance and integration testing and builds interfaces. Determines source code control techniques and configuration management design and changes.
  • 5%
  • Prepares and approves or obtains approval for system and programming documentation. Initiates and oversees changes in development, maintenance and system standards. Sets the technical requirements for complex software specifications.
  • Understands and applies industry practices, community standards and department policies and procedures in depth. May serve as technical lead for multiple software development projects of moderate to broad scope. May lead a team of software development professionals. Enforces project plans.
  • 25%
  • Build and maintain data integration (with SQL databases or APIs) and data processing and transformation pipelines to support the development and implementation of AI/ML tools
  • 20%
  • Yes Identify and build systems for implementation, monitoring, and maintenance of AI/ML tools. Collaborate with researchers and developers to productionize and maintain AI/ML tools in the Health System.
  • Collaborate with data scientists and researchers to design and implement highly complex metrics and processes to automatically monitor AI/ML tools for safety, potential bias or drift, performance, and validity.
  • 100%
  • (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

Responsibilities

  • of time
  • Essential Function (Yes/No )
  • (To be completed by Supervisor)
  • 10%
  • Yes
  • Applies advanced software concepts to plan, design, develop, modify, debug, deploy and evaluate highly complex software for functional areas. Analyzes existing highly complex software or works to formulate logic and devises algorithms for new highly complex software systems. Performs highly complex data analysis and tests / debugs highly complex software, working directly with management. Initiates, analyzes, designs and applies highly complex data sources. Applies and enforces complex programming security practices.
  • Specifies, develops and executes complex test plans. Develops conversion and system implementation plans. Performs or directs highly complex data modeling, performance and integration testing and builds interfaces. Determines source code control techniques and configuration management design and changes.
  • 5%
  • Prepares and approves or obtains approval for system and programming documentation. Initiates and oversees changes in development, maintenance and system standards. Sets the technical requirements for complex software specifications.
  • Understands and applies industry practices, community standards and department policies and procedures in depth. May serve as technical lead for multiple software development projects of moderate to broad scope. May lead a team of software development professionals. Enforces project plans.
  • 25%
  • Build and maintain data integration (with SQL databases or APIs) and data processing and transformation pipelines to support the development and implementation of AI/ML tools
  • 20%
  • Yes Identify and build systems for implementation, monitoring, and maintenance of AI/ML tools. Collaborate with researchers and developers to productionize and maintain AI/ML tools in the Health System.
  • Collaborate with data scientists and researchers to design and implement highly complex metrics and processes to automatically monitor AI/ML tools for safety, potential bias or drift, performance, and validity.
  • 100%
  • (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

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