Machine Learning / Data Engineer - University of California, San Francisco
San Francisco, CA
About the Job
Job SummaryThe machine learning/data engineer will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health
This role primarily involves managing and optimizing the data and monitoring pipelines of the Health IT Platform for Advanced Computing (HIPAC), a cloud infrastructure that supports the development and deployment of AI/ML tools, including large language models (LLMs) in the EHR
Specifically, the ML/data engineer will work on implementing new data integrations, enhancing HIPAC’s ETL functionalities, productionizing AI/ML tools developed by UCSF data scientists/researchers, and designing and implementing metrics to continuously monitor AI/ML tools deployed at UCSF Health.Competitive applicants for this position are software, machine learning, or data engineers with 2+ years of experience in implementing and maintaining AI/ML pipelines
Proficiency in MLOps, Python, SQL, and CI/CD is required
This role also requires a deep understanding of Epic data models (Clarity and Caboodle)
Successful candidates either have or are able to obtain Epic Clinical/Clarity data model certification shortly after onboarding.The final salary and offer components are subject to additional approvals based on UC policy.Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF
For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.The salary range for this position is $125,500 - $188,300 (Annual Rate).To learn more about the benefits of working at UCSF, including total compensation, please visit: Department DescriptionThe Health Artificial Intelligence (AI) team is part of the larger UCSF Health IT team and supports the development, implementation, and monitoring of artificial intelligence, machine learning, and other analytical tools, improving patient care, clinician experience, and health system operations
The team’s expertise spans data science, machine learning, software/data engineering, business, nursing informatics, and medical informatics. UCSF Health IT provides clinical and informatics leadership to achieve the strategic priorities of UCSF Health, as enabled by technology
Health IT is a multidisciplinary team of clinicians and technology professionals that partners with clinical, business, and technology leaders throughout the organization, using information technology to improve the quality, safety, and value of care, and the patient and provider experience, for UCSF and its partner organizations.Required QualificationsBachelor's degree in a related area and / or equivalent experience/training.2 years of experience designing, implementing, and maintaining complex Artificial Intelligence (AI)/ Machine Learning (ML) applications.Advanced experience with Python; ability to write clean, efficient, and production-level Python codeAdvanced experience with SQL (e.g., SQLServer, PostgreSQL) Demonstrated experience working with MLOps, DevOps, and CI/CD pipeline toolsetsExperience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.Experience in developing complex, automated testingExperience with cloud-based architecture in platforms such as AWS, GCP, AzureDemonstrated experience deploying, monitoring, and maintaining AI/ML models and pipelinesAdvanced experience in database systems, data warehousing solutions, and understanding of ETL pipelinesAdvanced experience in designing, building, or maintaining data infrastructure for efficient ML model training and inference.Demonstrated advanced knowledge of full software development lifecycleDemonstrated effective communication and interpersonal skillsDemonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organizationSelf-motivated and works independently and as part of a team
Able to learn effectively and meet deadlinesDemonstrated broad problem-solving skillsDemonstrated ability to interface with management on a regular basisExcellent project leadership and management skills.Preferred QualificationsMaster’s degree or PhD in Computer Science, Computer Engineering, or related area and/or equivalent experience/training.Epic Clarity or Clinical Data ModelExperience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environmentFamiliar with data visualization tools (e.g., Tableau)Experience with Epic data structuresAbout UCSFAt UCSF Health, our mission of innovative patient care, advanced technology and pioneering research is redefining what’s possible for the patients we serve – a promise we share with the professionals who make up our team
Consistently ranked among the top 10 hospitals nationwide by U.S
News & World Report – UCSF Health is committed to providing the most rewarding work experience while delivering the best care available anywhere
In an environment that allows for continuous learning and opportunities for professional growth, UCSF Health offers the ideal atmosphere in which to best use your skills and talents.Pride ValuesUCSF is a diverse community made of people with many skills and talents
We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values
In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce
We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care
Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide.Equal Employment OpportunityThe University of California San Francisco is an Equal Opportunity/Affirmative Action Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.OrganizationHealthJob Code and Payroll Title000652 APPLICATIONS PROGR 4 Job CategoryClinical Systems / IT Professionals Bargaining Unit99 - Policy-Covered (No Bargaining Unit) Employee ClassCareerPercentage100%LocationFlexible (combination of onsite and remote work), Mission Center Building (SF), San Francisco, CAShiftDaysShift Length8 Hours Additional Shift DetailsMonday - FridayDepartment Name: Health InformaticsPosition Type: Full TimeReq Number: 80944BR
This role primarily involves managing and optimizing the data and monitoring pipelines of the Health IT Platform for Advanced Computing (HIPAC), a cloud infrastructure that supports the development and deployment of AI/ML tools, including large language models (LLMs) in the EHR
Specifically, the ML/data engineer will work on implementing new data integrations, enhancing HIPAC’s ETL functionalities, productionizing AI/ML tools developed by UCSF data scientists/researchers, and designing and implementing metrics to continuously monitor AI/ML tools deployed at UCSF Health.Competitive applicants for this position are software, machine learning, or data engineers with 2+ years of experience in implementing and maintaining AI/ML pipelines
Proficiency in MLOps, Python, SQL, and CI/CD is required
This role also requires a deep understanding of Epic data models (Clarity and Caboodle)
Successful candidates either have or are able to obtain Epic Clinical/Clarity data model certification shortly after onboarding.The final salary and offer components are subject to additional approvals based on UC policy.Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF
For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.The salary range for this position is $125,500 - $188,300 (Annual Rate).To learn more about the benefits of working at UCSF, including total compensation, please visit: Department DescriptionThe Health Artificial Intelligence (AI) team is part of the larger UCSF Health IT team and supports the development, implementation, and monitoring of artificial intelligence, machine learning, and other analytical tools, improving patient care, clinician experience, and health system operations
The team’s expertise spans data science, machine learning, software/data engineering, business, nursing informatics, and medical informatics. UCSF Health IT provides clinical and informatics leadership to achieve the strategic priorities of UCSF Health, as enabled by technology
Health IT is a multidisciplinary team of clinicians and technology professionals that partners with clinical, business, and technology leaders throughout the organization, using information technology to improve the quality, safety, and value of care, and the patient and provider experience, for UCSF and its partner organizations.Required QualificationsBachelor's degree in a related area and / or equivalent experience/training.2 years of experience designing, implementing, and maintaining complex Artificial Intelligence (AI)/ Machine Learning (ML) applications.Advanced experience with Python; ability to write clean, efficient, and production-level Python codeAdvanced experience with SQL (e.g., SQLServer, PostgreSQL) Demonstrated experience working with MLOps, DevOps, and CI/CD pipeline toolsetsExperience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.Experience in developing complex, automated testingExperience with cloud-based architecture in platforms such as AWS, GCP, AzureDemonstrated experience deploying, monitoring, and maintaining AI/ML models and pipelinesAdvanced experience in database systems, data warehousing solutions, and understanding of ETL pipelinesAdvanced experience in designing, building, or maintaining data infrastructure for efficient ML model training and inference.Demonstrated advanced knowledge of full software development lifecycleDemonstrated effective communication and interpersonal skillsDemonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organizationSelf-motivated and works independently and as part of a team
Able to learn effectively and meet deadlinesDemonstrated broad problem-solving skillsDemonstrated ability to interface with management on a regular basisExcellent project leadership and management skills.Preferred QualificationsMaster’s degree or PhD in Computer Science, Computer Engineering, or related area and/or equivalent experience/training.Epic Clarity or Clinical Data ModelExperience with large language models and other generative AI technologies, especially supporting the deployment of GenAI-based tools in a production environmentFamiliar with data visualization tools (e.g., Tableau)Experience with Epic data structuresAbout UCSFAt UCSF Health, our mission of innovative patient care, advanced technology and pioneering research is redefining what’s possible for the patients we serve – a promise we share with the professionals who make up our team
Consistently ranked among the top 10 hospitals nationwide by U.S
News & World Report – UCSF Health is committed to providing the most rewarding work experience while delivering the best care available anywhere
In an environment that allows for continuous learning and opportunities for professional growth, UCSF Health offers the ideal atmosphere in which to best use your skills and talents.Pride ValuesUCSF is a diverse community made of people with many skills and talents
We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values
In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce
We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care
Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide.Equal Employment OpportunityThe University of California San Francisco is an Equal Opportunity/Affirmative Action Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.OrganizationHealthJob Code and Payroll Title000652 APPLICATIONS PROGR 4 Job CategoryClinical Systems / IT Professionals Bargaining Unit99 - Policy-Covered (No Bargaining Unit) Employee ClassCareerPercentage100%LocationFlexible (combination of onsite and remote work), Mission Center Building (SF), San Francisco, CAShiftDaysShift Length8 Hours Additional Shift DetailsMonday - FridayDepartment Name: Health InformaticsPosition Type: Full TimeReq Number: 80944BR
Source : University of California, San Francisco