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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 AbbottAt 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 OpportunityThis 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.comFollow 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 [redacted] and [redacted]The base pay for this position is$72,700.00 - $145,300.00In specific locations, the pay range may vary from the range posted.JOB FAMILY:Product DevelopmentDIVISION:SH Structural HeartLOCATION:United States > Minnesota > Plymouth : 5050 Nathan Lane NADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 5 % of the TimeMEDICAL SURVEILLANCE:NoSIGNIFICANT 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.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
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What You Should Know About Senior AI-Machine Learning Engineer, Abbott

Abbott is seeking a Senior AI-Machine Learning Engineer to join our dynamic team in St. Paul, MN. As a leader in healthcare innovation, Abbott offers an exciting opportunity for professionals looking to make a real impact in structural heart disease treatment. In this role, you will work closely with a talented R&D team, supporting the development of cutting-edge machine learning features within our cloud platform. Your technical expertise will drive innovative solutions that enhance patient care, enabling you to not only contribute to the company's mission but grow your own career. At Abbott, we value work-life balance, inclusivity, and continuous learning, providing you with resources such as tuition reimbursement, a strong retirement plan, and comprehensive health benefits. We’re proud to be recognized as a great place to work, promoting a diverse and supportive environment. If you have a Bachelor's degree in Computer Science, Data Science, or related fields—preferably with a Master’s or PhD—and at least two years of industry experience in AI and machine learning, we'd love to hear from you. Proficiency in ML programming languages and data-related libraries is essential. Join us at Abbott, and together, we'll redefine healthcare through technology!

Frequently Asked Questions (FAQs) for Senior AI-Machine Learning Engineer Role at Abbott
What are the main responsibilities of a Senior AI-Machine Learning Engineer at Abbott?

The primary responsibilities of a Senior AI-Machine Learning Engineer at Abbott include leading the development of innovative machine learning-enabled features for a novel device and cloud platform, collaborating with cross-functional teams, and providing technical leadership within a high-performing R&D environment.

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What qualifications are required to apply for the Senior AI-Machine Learning Engineer position at Abbott?

Applicants for the Senior AI-Machine Learning Engineer role at Abbott should have a Bachelor's degree in Computer Science, Data Science, or a related field, with a strong preference for candidates holding a Master's or PhD. A minimum of two years of relevant industry experience and proficiency in common AI/ML programming languages are also required.

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What skills are essential for success as a Senior AI-Machine Learning Engineer at Abbott?

Successful candidates for the Senior AI-Machine Learning Engineer position at Abbott should possess strong programming skills, particularly in Python, and be adept at using machine learning libraries like TensorFlow and Scikit-Learn. Experience in data analysis, model training, and collaboration across disciplines will also be crucial.

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What is the work environment like for a Senior AI-Machine Learning Engineer at Abbott?

At Abbott, the work environment for a Senior AI-Machine Learning Engineer is vibrant and collaborative, emphasizing innovation and teamwork. The company promotes a culture of learning and celebrates diversity, making it a great place to grow both personally and professionally.

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How does Abbott support the career development of its Senior AI-Machine Learning Engineers?

Abbott supports career development for Senior AI-Machine Learning Engineers through various initiatives, including tuition reimbursement, mentoring programs, and access to a wide array of resources to help you advance your career while working on meaningful healthcare projects.

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Common Interview Questions for Senior AI-Machine Learning Engineer
Can you describe your experience with machine learning programming languages relevant to the Senior AI-Machine Learning Engineer position?

In your response, highlight your proficiency in languages like Python, R, or MATLAB, providing specific examples of projects or tasks where you applied these skills to solve real-world problems or enhance processes.

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What machine learning techniques are you most comfortable with, and how have you applied them in your previous work?

Discuss any supervised, semi-supervised, or unsupervised learning methods you've utilized, along with specific projects where you've implemented these techniques successfully to achieve your objectives.

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How would you approach developing a new ML-enabled feature for Abbott's device and cloud platform?

Explain your approach to the development lifecycle, from initial data analysis and feature selection to model training, validation, and final deployment. Illustrate your methodology with examples from past experiences.

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Can you provide an example of how you have worked collaboratively within a multi-disciplinary team?

Share a relevant experience where you've successfully collaborated with professionals from different disciplines, detailing your role, contributions, and the overall impact on the project's success.

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What strategies do you use to handle data preparation and manipulation for machine learning projects?

Discuss the techniques you utilize for exploratory data analysis, normalization, and augmentation, mentioning your familiarity with tools and libraries that help facilitate these tasks effectively.

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How do you stay updated on the latest trends and technologies in machine learning and AI?

Highlight your commitment to continuous learning through attending workshops, following industry news, participating in online courses, or being part of relevant professional communities that focus on AI and machine learning.

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What kind of analytics reporting experience do you have as it pertains to machine learning projects?

Describe your experience with analytics reporting, including any tools used for visualization, and discuss how you've leveraged these insights to inform decision-making or improve project outcomes.

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Have you ever participated in a clinical trial or related research in the healthcare sector?

If yes, provide details on your role and contributions, emphasizing how your work in that setting aligns with the responsibilities of a Senior AI-Machine Learning Engineer at Abbott.

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Describe a challenging machine learning problem you've faced and how you overcame it.

Be prepared to describe a specific problem, your analysis of it, the strategies you employed to address it, and the results achieved, showcasing your problem-solving skills.

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Why do you want to work for Abbott as a Senior AI-Machine Learning Engineer?

This is your chance to demonstrate your knowledge of Abbott's values and mission. Share how your career aspirations align with the company's goals, and express your excitement about contributing to healthcare innovations.

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We help people live better and healthier with our life-changing technologies. We're revolutionizing health with the most personal technologies, empowering people with the data and knowledge they need to help them live longer and better.

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Full-time, on-site
DATE POSTED
December 20, 2024

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