Principal Machine Learning Engineer

Medtronic-posted 3 months ago
$160,800 - $241,200/Yr
Full-time • Principal
Hybrid • Duluth, GA
Miscellaneous Manufacturing
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At Medtronic, you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. In this role as a Principal Machine Learning Engineer in the Transformation team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions. This position is an exciting opportunity to work with Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility. As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care.

  • Design, develop, and implement machine learning models and algorithms to solve complex business problems.
  • Use software design principles to develop production ready code.
  • Collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
  • Optimize and fine-tune machine learning models for performance and accuracy.
  • Deploy machine learning models into production environments and monitor their performance.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
  • Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
  • Mentor and provide guidance to junior Machine Learning Engineers.
  • Requires a Bachelor's degree and minimum of 7 years of relevant experience OR Master's degree with a minimum of 5 years relevant experience OR PhD with 3 years relevant experience.
  • Master's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics.
  • 7+ years of industry experience in writing production level, scalable code (e.g. in Python).
  • 5+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning.
  • 5+ years of industry experience with distributed computing frameworks such as PySpark.
  • 5+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
  • 5+ years of industry experience with major cloud computing services like AWS or Azure or GCP.
  • 2+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like LangChain, LangGraph, PGVector, Pinecone, Bedrock.
  • Experience in building Agentic AI applications.
  • 3+ years of technical leadership leading junior engineers in a product development setting.
  • Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
  • Proficient in containerization services.
  • Proficient in Sagemaker to deploy the models.
  • Experience with working in CICD framework.
  • Experience in deploying and scaling Open source LLM Models.
  • 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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