AI/ML Engineer

Thornton Tomasetti; Alameda (CA); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Career development

Health plan

Retirement plan

Tuition reimbursement

Diversity recognition

Job summary

Abbott in Alameda, CA is seeking an AI/ML Engineer to bring machine learning models to mobile devices and wearables. You will own on-device inference, model optimization, and decide what runs locally versus in the cloud, partnering with mobile and cloud engineers and data scientists.

Qualifications include a Bachelor's or Master's in CS, 6+ years in software/ML, and experience with Core ML, TensorFlow Lite, ONNX Runtime, and Python plus Swift/Kotlin/C++.

Qualifications

• Bachelor's or Master’s degree in Computer Science or 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.

Responsibilities

• Convert, optimize, and deploy models to iOS, Android, and wearable devices.
• Apply quantization, pruning, and distillation to meet latency, memory, and battery targets.
• Design the on-device and cloud split, including offline behavior and synchronization of results.
• Build a safe, versioned process for updating models on devices, in partnership with the ML platform team.
• Validate on-device model outputs and build tests across device types and OS versions.
• Collect on-device performance and quality metrics while respecting user privacy.

Skills

Python

Swift/Kotlin/C++

Edge ML deployment

Model optimization

On-device inference

Education

Bachelor's or Master’s degree in Computer Science or related field

Tools

Core ML

TensorFlow Lite

ONNX Runtime

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms.

Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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 a 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 worldwide 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 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.

Abbott is an Equal Opportunity Employer, committed to employee diversity.

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

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.