Senior AI/ML Engineer — Health Analytics & Production

Thornton Tomasetti; Alameda (CA); On-site; USD 114,000 - 228,000; Full time

Benefits offered by this job

Free medical coverage

Employer retirement contribution

Tuition reimbursement

FreeU education benefit

Job summary

Abbott in Alameda, CA is seeking a Senior AI/ML Engineer to turn glucose forecasting and personalization models into scalable cloud services. You will bridge research and product, collaborating with data scientists, platform engineers and product teams to deliver robust ML solutions.

The role requires strong Python expertise and experience deploying models to production, with emphasis on time-series work and cloud-based pipelines.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Team collaboration

Communication

Problem solving

Critical thinking

Education

Bachelor's degree in Computer Science or related field

Master's degree in CS/ML (preferred)

Tools

Python

PyTorch

TensorFlow

scikit-learn

Cloud platforms

Containers

ML pipelines

Job description

Abbott in Alameda, CA is seeking a Senior AI/ML Engineer to turn glucose forecasting and personalization models into scalable cloud services. You will bridge research and product, collaborating with data scientists, platform engineers and product teams to deliver robust ML solutions.

The role requires strong Python expertise and experience deploying models to production, with emphasis on time-series work and cloud-based pipelines.