Sr. Staff AI/Machine Learning Engineer

Company: Abbott Laboratories
Location: San Diego
Posted on: May 24, 2025

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 114,000 colleagues serve people in more than 160 countries.Working at AbbottAt 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 student debt program, and 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 OpportunityThe Senior Staff AI Machine Learning Engineer is within our Infectious Diseases business unit located in San Diego, California. This role is on-site.Join us at the forefront of medical innovation!We are a pioneering medical device division dedicated to transforming lives and enhancing well-being. Your work here will make a tangible difference in people's lives. You'll be part of a vibrant team that thrives on independent thinking and creative problem-solving in a fast-paced, dynamic environment.Notable products by Abbott include:
  • ID NOW rapid point of care molecular device.
  • FreeStyle Libre and Lingo Continuous Glucose Monitoring (CGM) bio wearable sensors.
  • Optical Coherence Tomography (OCT) Imaging.
  • Insertable cardiac monitors (ICM).This is from the division that developed at record time a molecular test within minutes for Covid-19 at the heights of the pandemic. We are looking for talented AI/ML and Data Scientists to develop the next breakthrough tools that will alter the way we work and expedite time to result across various products in our division.Abbott Rapid Molecular Diagnostics is part of Abbott's Diagnostics family of businesses, bringing together exceptional teams of experts and industry-leading technologies to support point of care diagnostic testing that provides important information for treatment and management of infectious diseases and other conditions.AI is a transformational technology that can bring revolutionary improvements to the internal functions of the enterprise as well as to our customers. This role will be key to driving the AI projects to realize new efficiencies in all areas of the business.This is a key technical role in our growing AI team contributing to the design and development of our instrument platforms within the Instrument Software & Systems organization. The right candidate for this position will be an experienced AI Engineer who has demonstrated success in leading AI projects and initiatives that support continuous improvement in R&D, Operations, and Commercial teams.What You'll Work On
    • Drive and develop AI technologies and solutions that provide transformational impact to the functions of our business.
    • Develop and implement industry-leading GenAI, statistical models, and machine learning algorithms to analyze diverse sources of data, ensuring they meet business requirements and are delivered on time.
    • Develop and Maintain AI Pipelines: Ensure smooth operation of data and model training pipelines and troubleshoot any issues that arise.
    • Tune and Optimize Models: Adjust and refine pre-existing generative AI models to enhance performance, adapt to new data, or meet specific project requirements.
    • Knowledge and experience in developing RAG systems using Azure or other platforms. Integrate with LLMs for improved performance.
    • Use state-of-the-art methods to interpret and analyze data from multiple angles, identify patterns, trends, and insights.
    • Build predictive models and machine-learning algorithms to forecast future trends and outcomes.
    • Design and implement APIs for exposing data and models, ensuring they adhere to best practices in software engineering.
    • Collaborate with data scientists, data engineers, and business teams to implement models.
    • Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.
    • Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making.Required Qualifications
      • Bachelor's Degree in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.
      • 10+ years of Software Engineering, or related work experience or Master's Degree and 7+ years of work experience.
      • 5+ years of experience in AI/ML technologies and 1 year of GenAI experience.Preferred Qualifications
        • M.S. or Ph.D. in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.
        • Advanced skills in Generative Models: Knowledge of models, fine-tuning foundation models like GPT-4, and understanding their architecture, training processes, and applications.
        • Natural Language Processing (NLP): A strong understanding of NLP to work with text generation and analysis. Experience with large language model frameworks such as spaCy and LangChain.
        • Experience in model development for time series data, signal and image processing.
        • Proven track record of developing AI solutions and deploying to production environment.
        • Deep understanding of AI/ML algorithms, data structures, and software engineering principles.
        • Expertise with at least one cloud computing platform (e.g., AWS, Azure, Google Cloud).
        • Proficiency in Python, SQL, and NoSQL databases. Familiarity with machine learning frameworks (like Keras, PyTorch, TensorFlow) and libraries (like scikit-learn, scipy, and statsmodel). Good knowledge of additional programming languages such as .NET Core and Java.
        • Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
        • Ability to thrive in a fast-paced and dynamic environment.Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: 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 , on Facebook at , and on Twitter @AbbottNews.#rdexpansionsandiegoThe base pay for this position is $128,000.00 - $256,000.00. In specific locations, the pay range may vary from the range posted.
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Keywords: Abbott Laboratories, La Mesa , Sr. Staff AI/Machine Learning Engineer, Engineering , San Diego, California