20 days old

Sr. Machine Learning Engineer

Medtronic
Mounds View, MN 55112
  • Job Code
    2100006M

Senior Machine Learning Engineer

Careers that Change Lives

Change begins with you. We look for bold ideas and fresh insights - that's what drives innovation. Come drive the future of healthcare with us.

Join a diverse team of innovators who bring their worldview, their unique backgrounds, and their individual life experiences to work every day. It's no accident -we work hard to cultivate a workforce that reflects our patients and partners. We believe it's the only way to drive healthcare forward and remain a global leader in medical technology and solutions.

Medtronic's ML engineers develop the next-generation technologies that revolutionize the care of millions of patients worldwide. Our products range from complex cloud-based information processing at massive scale to efficient algorithms controlling the real-time operation of implanted devices. We're looking for engineers who bring fresh ideas from all areas, including artificial intelligence, computer vision, signal processing, natural language processing, information retrieval, distributed computing, UI design and mobile. As a ML engineer, you will work on multiple projects critical to the needs of Medtronic's Cardiac Rhythm and Heart Failure division. Our engineers need to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Day in the Live

  • Design, build, train and test Machine Learning models
  • Work closely with Project Managers, Research Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
  • Analyze experimental and observational data, communicate findings, and facilitate product design decisions

Responsibilities may include the following and other duties may be assigned.
  • In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
  • In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
  • In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code.
  • Completes programming and implements efficiencies, performs testing and debugging.
  • Completes documentation and procedures for installation and maintenance.
  • Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
  • Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
  • Can work with large scale computing frameworks, data analysis systems and modeling environments.

Must Have: Minimum Requirements

  • Bachelors degree in Computer Science, Statistics, Biomedical Engineering or related technical field
  • Minimum of 4 years of relevant experience, or advanced degree with a minimum of 2 years relevant experience

Nice to Have
Knowledge/ theory:
  • Experience with signal processing, image processing
  • A solid understanding of both probability and statistics
  • Advanced Experience with Building your own AI architectures: Convolutional Networks, Residual Networks, Recurrent Networks, Transformers Networks
  • Deep knowledge of techniques such as: Transfer learning, data augmentation, Advanced Data loaders, Reinforcement learning, Generative adversarial Networks, Semi supervised training such as contrastive learning, teacher student, Natural language processing, and Image segmentation
  • Proven ability to quickly and effectively turn research ML papers into working code
  • Experience with other Machine learning techniques such as Gaussian processes, Bayesian methods, boosted trees, support Vector machines, random Forest,and PCA
  • Extensive knowledge of machine learning evaluation metrics and best practices
  • A firm understanding of mathematics and linear algebra(including the role of algorithm theory in machine learning and complex algorithms that are needed to train models, for example backpropagation, and Adaptive Moment Estimation (Adam))

Programming/Application:
  • Deep knowledge of python and object-oriented coding
  • Deep knowledge of ML libraries like, PyTorch, Tensorflow, scikit-learn etc.
  • Standard software development skills such as code versioning
  • Experience in Linux SysAdmin
  • skills in cross platform Linux/Windows and shell scripting bash/PowerShell
  • Data pipelines and data wrangling expertise, with Library such as: Spark and Hadoop
  • Practical knowledge of how to build efficient end-to-end ML workflows, TFX

Soft Skills:
  • Collaborate well with others
  • Work in a team environment with code reviews and feedback from peers
  • Excellent communication skills
  • Self-driven with the ability to deliver on ambiguous projects with incomplete or dirty data

About Medtronic

Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life. We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.

We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Let's work together to address universal healthcare needs and improve patients' lives. Help us shape the future.

Physical Job Requirements

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. (ADA-United States of America)

Additional Information

  • Posting Date: Jan 4, 2021
  • Travel: No






Posted: 2021-01-06 Expires: 2021-02-04
Sponsored by:
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Sponsored by:
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Sr. Machine Learning Engineer

Medtronic
Mounds View, MN 55112

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