On-Device AI/ML Engineer - Mobile & Wearables

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

Benefits offered by this job

HIP PPO medical plan

Excellent retirement plan

Tuition reimbursement

FreeU education benefit

Global career opportunities

Job summary

Abbott is seeking an AI/ML Engineer in Alameda, CA to bring machine learning models to mobile phones and wearables, delivering real-time insights even without network access. You will own on-device inference, model optimization, and the decision logic for local vs cloud execution.

You will collaborate with mobile and cloud engineers, data scientists, and the Data platform team to shape product behavior at the point of use, balancing latency, power, and memory constraints with clinical accuracy.

Qualifications

• 6+ years of software or ML engineering experience.
• 3+ years deploying ML models on mobile or embedded devices.
• Proficiency in Python plus at least one of Swift, Kotlin, or C++.
• Hands‑on experience with edge inference frameworks (Core ML, TensorFlow Lite, ONNX Runtime).
• Understanding of mobile performance constraints: battery, memory, latency.

Responsibilities

• Convert, optimize, and deploy models to iOS, Android, and wearables using Core ML, TensorFlow Lite, ONNX Runtime, or similar.
• Apply quantization, pruning, and distillation to meet latency, memory, and battery targets while preserving clinical accuracy.
• Design on-device and cloud split, including offline behavior, fallback, and synchronization of results.
• Build a safe, versioned process for updating models on devices with ML platform team.
• Validate on-device outputs match reference models and build tests across devices 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 experiences.
• Contribute to design reviews, verification activities, and technical documentation in compliance with regulations.
• Identify problems or areas for improvement and resolve issues.

Skills

Python

Swift

Kotlin

C++

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Core ML

TensorFlow Lite

ONNX Runtime

Job description

Abbott is seeking an AI/ML Engineer in Alameda, CA to bring machine learning models to mobile phones and wearables, delivering real-time insights even without network access. You will own on-device inference, model optimization, and the decision logic for local vs cloud execution.

You will collaborate with mobile and cloud engineers, data scientists, and the Data platform team to shape product behavior at the point of use, balancing latency, power, and memory constraints with clinical accuracy.