Senior AI-Machine Learning Engineer

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 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and 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.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our St. Paul, MN location in the Structural Heart division. Our business purpose is to restore health and improve quality of life through the design and provision of device and management solutions for the treatment of structural heart disease.

As the AI/Machine Learning Engineer you will provide technical leadership within a vibrant, high-performing R&D team that is redefining the treatment of structural heart disease. S/he will lead the development of innovative ML-enabled features on a novel device and cloud platform.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Data Science, Engineering, or similar with an emphasis in artificial intelligence and machine learning. Strongly prefer Master’s or PhD with an emphasis on multimodal machine learning.
• Minimum 2 years of relevant industry experience.
• Proficiency in common AI/ML programming languages (at least one of): Python (preferred), R, Julia, or MATLAB.
• Proficiency with common libraries used for numeric manipulation and machine learning such as Numpy, Pandas, Scikit-Learn, Tensorflow, Keras, etc.
• Hands-on experience with a variety of supervised, semi-supervised and unsupervised machine learning methods.
• Basic experience in exploratory data analysis and visualization.
• Experience in preparation and manipulation of training and validation datasets, including data structuring, normalization, augmentation, and synthetic methods.
• Understanding of conventional statistical methods and techniques.
• Self-motivated with ability to collaborate across multiple disciplines (e.g., electrical, software, systems) to meet program milestones.

PREFERRED QUALIFICATIONS

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, Physics or Engineering.
• Basic experience in analytics reporting and interactive visualizations.
• Experience in image/video segmentation and classification.
• Experience in transferring trained models to a production cloud environment, e.g., API implementation, containerization.
• Familiarity with ISO 13485, 14971, etc.
• Experience in compiling and optimization techniques (e.g., quantization, pruning, compression) to deploy models on edge devices
• Database creation/usage experience to manage, store and query multimodal datasets (e.g,. PostgreSQL, Mongo, etc.)
• Experience in C/C++/C# family of coding languages.
• Experience in model life cycle management within an distributed HPC environment such as Azure Databricks.
• Experienced in the sequential phases of the medical device development from early feasibility and VOC through development, test, commercial launch, and post-market support.
• Experience in first-in-human and pivotal clinical trials.
• Experience and/or familiarity with cardiac anatomy and interventional cardiology.

Apply Now

 

* Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

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

     

The base pay for this position is

$72,700.00 – $145,300.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Product Development

     

DIVISION:

SH Structural Heart

        

LOCATION:

United States > Minnesota > Plymouth : 5050 Nathan Lane N

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 5 % of the Time

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing 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