Senior Principal AI/ML Scientist
AbbottAbout the role
JOB DESCRIPTION:
Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
Career development with an international company where you can grow the career you dream of.
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
An excellent retirement savings plan with high employer contribution
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
THE OPPORTUNITY
This Senior Principal AI/ML Scientist position can work out of our Santa Clara, CA location.
Senior Principal AI/ML Scientist will lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions. You will be vital in building and commercializing enterprise grade Product AI solutions and services from concept through launch in both consumer tech and med tech.
What You’ll Work On
Lead end-to-end AI product development and delivery, including model development, feature engineering, training, validation, deployment, and monitoring.
Develop state of the art ML algorithms using medical images, sensors signals and EHR data for Abbott’s medical device customers along the entire care pathway.
Partner closely with scientists and ML researchers, translating innovative concepts into reliable, production-ready software and act as the team’s bridge between science and engineering.
Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines.
Evaluate and pilot emerging technologies, including large language models, multimodal machine learning techniques, and advanced hardware accelerators.
Mentor and guide ML engineers and data scientists, establish coding standards, and conduct detailed design and architectural reviews.
Contribute to peer-reviewed publications and generate Intellectual Property materials to drive scientific understanding and innovation in the field.
Qualifications
Bachelors
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