Sr. AI/Data Science Engineer

Medtronic•Lafayette, CO
•$138,400 - $207,600•Onsite

About The Position

We anticipate the application window for this opening will close on - 14 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Cranial and Spinal Technologies (CST) is one of Medtronic’s largest and most innovative portfolios, focused on advancing technologies that support spine, cranial, navigation, and robotic-assisted procedures. Within CST Research & Technology (R&T), the Robotics and Navigation Technology Development Center evaluates emerging technologies, conducts early-stage feasibility research, and develops next-generation capabilities that may support future surgical navigation, imaging, robotics, and artificial intelligence-driven solutions. This role is part of a multidisciplinary team working across artificial intelligence, machine learning, computer vision, medical imaging, and navigation technologies. As a Senior AI/Data Science Engineer, you will investigate complex technical challenges and develop AI-driven solutions that support early-stage research and technology development. This role is focused on algorithm innovation, experimentation, proof-of-concept development, and technical feasibility assessment in areas including medical imaging, surgical navigation, robotics, and image-guided procedures.

Requirements

  • Bachelor's degree with 2+ years of relevant experience OR Master's degree in a related field.
  • Experience with Python and SQL.
  • Experience developing and evaluating AI, machine learning, or statistical models.
  • Experience in machine learning, data analysis, and algorithm development.
  • Experience using computing frameworks, data analysis platforms, or modeling environments.

Nice To Haves

  • Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), or agentic AI concepts.
  • Experience with deep learning, computer vision, TensorFlow, or PyTorch.
  • Experience with medical imaging, surgical navigation, robotics, or image-guided procedures.
  • Experience with registration, calibration, localization, tracking, or coordinate frame transformations.
  • Experience in healthcare, medical technology, or regulated technical environments.
  • For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required.

Responsibilities

  • Conduct research to identify, evaluate, and validate artificial intelligence, machine learning, deep learning, and generative AI approaches.
  • Develop algorithms and proof-of-concept solutions to assess technical feasibility and future application opportunities.
  • Analyze structured, semi-structured, and unstructured data using statistical modeling and machine learning techniques.
  • Design experiments, establish evaluation criteria, and benchmark algorithm performance.
  • Develop software and analytical tools that support data processing, model development, and technical investigations.
  • Apply AI and computer vision methods to imaging, navigation, robotics, and image-guided procedure applications.
  • Collaborate with research, engineering, and clinical stakeholders to define technical problems and communicate findings.
  • Document research activities, experimental results, and technical recommendations.

Benefits

  • Health, Dental and vision insurance
  • Health Savings Account
  • Healthcare Flexible Spending Account
  • Life insurance
  • Long-term disability leave
  • Dependent daycare spending account
  • Tuition assistance/reimbursement
  • Simple Steps (global well-being program)
  • Incentive plans
  • 401(k) plan plus employer contribution and match
  • Short-term disability
  • Paid time off
  • Paid holidays
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Non-qualified Retirement Plan Supplement (subject to IRS earning minimums)
  • Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums)
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