Senior AI/ML Engineer

Thornton Tomasetti

Alameda (CA)

On-site

USD 114,000 - 228,000

Full time

3 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

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

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. 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 Senior AI/ML Engineer position can work out of Alameda, CA location. 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.
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.
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.

undefined 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 $114,000.00 – $228,000.00 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. Follow Us: Facebook LinkedIn YouTube Twitter

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior AI/ML Engineer
Senior AI/ML Engineer

Abbott (abbottcareers2 board) • United States

On-site
USD 114,000 - 228,000
Health coverage
Tuition reimbursement
Competitive retirement plan
Senior AI/ML Engineer
Senior AI/ML Engineer

Abbott • Alameda (CA)

On-site
USD 114,000 - 228,000
Free medical coverage
Retirement plan with employer contrib.
Tuition reimbursement
+1
AI/ML Engineer
AI/ML Engineer

Thornton Tomasetti • Alameda (CA)

On-site
USD 100,000 - 200,000
Career development
Health plan
Retirement plan
+2
Head of AI and Data Platform
Head of AI and Data Platform

Thornton Tomasetti • Alameda (CA)

On-site
USD 172,000 - 344,000
Career development
HIP medical coverage
Retirement savings plan
+3
Principal AI/ML Engineer
Principal AI/ML Engineer

Thornton Tomasetti • Alameda (CA)

On-site
USD 131,000 - 261,000
Free medical coverage in HIP PPO plan
High employer contribution retirement
Tuition reimbursement and education
Staff AI/ML Platform Engineer
Staff AI/ML Platform Engineer

Thornton Tomasetti • Alameda (CA)

On-site
USD 114,000 - 228,000
Free medical coverage
Competitive retirement plan
Tuition reimbursement
+1
Senior Staff ML Ops Engineer
Senior Staff ML Ops Engineer

Thornton Tomasetti • Santa Clara (CA)

Hybrid
USD 131,000 - 261,000
HIP PPO medical plan
Employer retirement contribution
Tuition reimbursement
+1
Staff AI/ML Platform Engineer
Staff AI/ML Platform Engineer

Abbott • Alameda (CA)

On-site
USD 114,000 - 228,000
Health coverage
Retirement plan
Tuition reimbursement
+2
Software Engineer, Cloud
Software Engineer, Cloud

Thornton Tomasetti • United States

Remote
USD 78,000 - 156,000
HIP PPO medical plan
High employer retirement contributions
Tuition reimbursement
+1
Senior Manager, Mobile Engineering
Senior Manager, Mobile Engineering

Thornton Tomasetti • Alameda (CA)

On-site
USD 149,000 - 297,000
Free medical coverage
Excellent retirement plan
Tuition reimbursement
+1