Senior Machine Learning Engineer at Medtronic

Duluth, Georgia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical DevicesIndustries

Requirements

Bachelor’s degree and minimum of 4 years of relevant experience OR Master’s degree with a minimum of 2 years relevant experience OR PhD with 0 years relevant experience
Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics (preferred)
5+ years of industry experience in writing production level, scalable code (e.g. in Python) (preferred)
4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning (preferred)
4+ years of industry experience with distributed computing frameworks such as PySpark (preferred)
4+ 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.) (preferred)
4+ years of industry experience with major cloud computing services like AWS or Azure or GCP (preferred)
1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, Langgraph, PGVector, Pinecone, Bedrock (preferred)
Experience in building Agentic AI applications (preferred)
2+ years of technical leadership leading junior engineers in a product development setting (preferred)
MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields (preferred)
Proficient in containerization services (preferred)
Proficient in Sagemaker to deploy the models (preferred)
Experience with working in CICD framework (preferred)
Experience in deploying and scaling Open source LLM Models (preferred)

Responsibilities

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
Collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions

Skills

Key technologies and capabilities for this role

Machine LearningAlgorithmsData PreprocessingData AnalysisModel TrainingModel EvaluationModel OptimizationModel DeploymentPerformance MonitoringSoftware Design

Questions & Answers

Common questions about this position

What education and experience are required for the Senior Machine Learning Engineer role?

The role requires a Bachelor's degree and minimum of 4 years of relevant experience, or a Master’s degree with a minimum of 2 years relevant experience, or a PhD with 0 years relevant experience.

What are the preferred qualifications for this position?

Preferred qualifications include a Bachelor’s degree in a technical discipline, 5+ years of industry experience in writing production level scalable code (e.g. in Python), 4+ years with machine learning topics like classification and deep learning, and 4+ years with distributed computing frameworks such as PySpark.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team environment look like at Medtronic for this role?

You will collaborate with data scientists and stakeholders in the Transformation team within Medtronic's Diabetes business, which is set to separate for greater agility and innovation, and you will mentor junior Machine Learning Engineers.

Medtronic

Develops and manufactures medical devices and therapies

About Medtronic

Medtronic provides medical technology, services, and solutions to improve patient care. The company develops a variety of medical devices, including pacemakers, insulin pumps, surgical tools, and neurostimulation devices, which help diagnose, prevent, and treat chronic diseases. These products are used by hospitals, clinics, and healthcare professionals around the world. Medtronic stands out from competitors by investing significantly in research and development to create new products and offering additional services like training and patient management programs. The goal of Medtronic is to enhance patient outcomes and lower healthcare costs through its comprehensive range of medical solutions.

Fridley, MinnesotaHeadquarters

1949Year Founded

$3.2MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees