Senior AI/Data Scientist
Careers that Change Lives
Our space, the medical device and healthcare industry, is rapidly changing. It always has been that way. With remote monitoring, wearables, robotics, AR/VR, telemedicine, and much more, agility and responsiveness are key to our success. Experience what it’s like to work at a company with an exciting product pipeline full of patented inventions driving innovation in the healthcare space.
A Day in the Life
Medtronic’s Machine Learning (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 are 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.
Responsibilities may include the following and other duties may be assigned.
- Design, build, train, and test ML models
- Work closely with Project Managers, Research Scientists, and fellow ML Engineers to frame problems within the business context
- Analyze experimental and observational data, communicate findings, and facilitate product design decisions
- 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
- Bachelor’s degree required
- Minimum of 4 years of relevant experience, or advanced degree with a minimum of 2 years relevant experience
Nice to Have
- B.S., M.S. or Ph.D. in Computer Science, Statistics, Biomedical Engineering, or related technical field
Knowledge/ theory:
- Experience with signal and image processing
- A solid understanding of both probability and statistics
- Advanced experience with building AI architectures: Convolutions, Residuals, Recurrence, and Transformers
- Deep knowledge of techniques such as: Transfer learning, Data Augmentation, Reinforcement learning, Generative Adversarial Networks, Natural Language Processing, and Image Segmentation
- Strong grasp of semi-supervised approaches such as Contrastive Learning and Student-Teacher methods
- Proven ability to turn research ML papers quickly and effectively into working code
- Experience with other ML techniques such as Gaussian processes, Bayesian methods, Boosted Trees, SVMs, Random Forests, and PCA
- Extensive knowledge of ML evaluation metrics and best practices
- A firm understanding of mathematics and linear algebra, including the theory behind algorithms such as backpropagation and Adaptive Moment Estimation (Adam)
Programming/Application:
- Deep understanding of python and object-oriented coding
- Practical knowledge of ML libraries such as PyTorch, Tensorflow, Scikit-Learn, etc.
- Standard software development skills such as code version control (Git)
- SysAdmin skills in cross-platform shell scripting
- Data pipeline and wrangling expertise with SQL and technologies such as Spark and Hadoop
- Working 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: Apr 27, 2021
- Travel: Yes, < 25 % of the Time