A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
THE OPPORTUNITY
This AI/ML Engineer position can work out of Alameda, CA location.
As AI/ML Engineer, you will bring machine learning models to mobile phones and wearables, so users receive real-time insights even without a network connection. You will own on-device inference, model optimization, and the logic that decides what runs locally and what runs in the cloud.
You will work closely with mobile and cloud engineers, data scientists, and the Data platform team, so strong collaboration and a high level of professionalism are required. This role shapes how the product works at the point of use.
What You'll Work On
Convert, optimize, and deploy models to iOS, Android, and wearable devices using Core ML, TensorFlow Lite, ONNX Runtime, or similar.
Apply quantization, pruning, and distillation to meet latency, memory, and battery targets without losing clinical accuracy.
Design the on-device and cloud split, including offline behavior, fallback, and synchronization of results.
Build a safe, versioned process for updating models on devices, in partnership with the ML platform team.
Validate that on-device model outputs match reference models and build tests across device types and OS versions.
Collect on-device performance and quality metrics while respecting user privacy.
Partner with mobile engineers to integrate models into the app and sensor experience.
Contribute to design reviews, verification activities, and technical documentation in compliance with government and corporate regulations.
Proactively identify problems or areas for improvement and resolve issues.
Qualifications
Bachelor’s or Master’s degree in Computer Science, or a related field.
6+ years of software or ML engineering experience, including 3+ years deploying ML models on mobile or embedded devices.
Hands-on experience with Core ML, TensorFlow Lite, ONNX Runtime, or equivalent edge inference frameworks.
Proven experience with model optimization techniques such as quantization and pruning.
Proficiency in Python plus at least one of Swift, Kotlin, or C++.
Understanding of mobile performance constraints: battery, memory, latency, and background execution.
Preferred Qualifications
Experience in a regulated industry, ideally medical devices or SaMD, including software verification and validation.
Experience with wearable, Bluetooth, or sensor-connected devices.
Experience running small language models on device.
Familiarity with IEC 62304 and privacy-preserving techniques such as federated learning.
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal
#software
- The base pay for this position is
- $100,000.00 – $200,000.00
- In specific locations, the pay range may vary from the range posted.
JOB FAMILY
Product Development
DIVISION
LNGO Lingo
LOCATION
United States > Alameda : 2901 Harbor Bay Parkway
ADDITIONAL LOCATIONS
WORK SHIFT
Standard
TRAVEL
No
MEDICAL SURVEILLANCE
Not Applicable
SIGNIFICANT WORK ACTIVITIES
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
