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# Senior AI/ML Engineer

- **Company:** Abbott Laboratories
- **Location:** Alameda, CA, United States
- **Experience:** Expert
- **Salary:** $114,000.0 - $228,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Continuous Integration, EHealth, Python (Programming Language), Machine Learning, Pattern Recognition, Tensorflow, Azure Machine Learning, Software Engineering, Data Streaming, Pytorch, Scikit Learn, Information Technology, Apache Kafka, Spark Streaming, Machine Learning Operations, Video Streaming, Code Restructuring, Software Version Control
- **Published:** October 15, 2026
- **Apply:** https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---California---Alameda/Senior-AI-ML-Engineer_31164308-1

## About the Role

* Bachelor's degree in computer science, or a related field.

 * Minimum 8 years of software or ML engineering experience, including 3+ years deploying ML models to production.

 * Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

 * Experience with time-series modeling or forecasting in production.

 * Experience with cloud platforms, containers, and ML pipelines.

 * Solid software engineering practices: testing, code review, CI/CD, and version control.
*

Preferred Qualifications

 * Master's degree in computer science, Machine Learning or a related field.
Experience in a regulated industry, ideally medical devices, digital health, or SaMD.

 * Experience with physiological or wearable sensor data, such as continuous glucose monitoring.

 * Familiarity with streaming technologies such as Kafka, Azure Event Hubs, Kinesis, or Spark Streaming.

 * Experience with personalization, recommendation, or anomaly detection systems.

 * Familiarity with HIPAA and data privacy requirements.

## Description

As Senior AI/ML Engineer, you will turn models developed by our data science team, such as glucose forecasting, pattern detection, and personalization, into production services that run at scale in the cloud. You are the bridge between research and product.

You will work closely with data scientists, platform engineers, and product teams, so strong collaboration and a high level of professionalism are required. This role offers direct exposure to both data science and product engineering.

What You'll Work On

 * Productionize time-series and personalization models for glucose insights, from prototype to scalable, monitored services.

 * Refactor and optimize data science code for performance, reliability, and maintainability.

 * Build batch and real-time inference services with defined latency, cost, and availability targets.

 * Partner with the agentic AI team to expose model outputs as reliable tools and signals for agents.

 * Build and maintain feature pipelines on the ML platform using sensor, meal, activity, and user context data.

 * Handle real-world sensor challenges, including missing data, noise, calibration drift, and sensor warm-up periods.

 * 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.