Principal Engineer - Reinforcement Learning for Medical Device

BD (Becton, Dickinson and Company)-posted about 2 months ago
$124,700 - $205,800/Yr
Irvine, CA
5,001-10,000 employees
Miscellaneous Manufacturing
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We are seeking an experienced Algorithm Engineer to design and develop advanced machine learning algorithms for life-saving and life-enhancing patient monitoring technologies. The ideal candidate will have a strong academic foundation in reinforcement learning, practical development experience with state-of-the-art algorithms for real-world applications, and expertise in data curation. BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you'll be supported to learn, grow and become your best self. Become a maker of possible with us.

  • Lead the design and development of advanced reinforcement learning, machine learning and signal processing algorithms for patient monitoring
  • Perform statistical data analyses to characterize performance of machine learning algorithms
  • Lead research and feasibility of new concepts, conduct animal studies and clinical data collection, analyze and interpret clinical data, draw conclusions and prepare final reports and presentations
  • Collaborating with clinicians to conduct clinical trials and publish scientific articles
  • Conduct verification and validation testing in accordance with FDA and ISO standards, support regulatory submissions by documenting algorithm design, performance, and safety considerations
  • PhD degree in Computer Science, Electrical Engineering, Machine Learning, Physics, or a closely related STEM field with focus on reinforcement learning and artificial intelligence
  • 3 years of experience in reinforcement learning
  • Deep and under-the-hood understanding of reinforcement learning algorithms, including recent advances, modern deep learning architectures, optimization, etc
  • Strong practical and hands-on experience in developing deep reinforcement learning algorithms for real-world problem solving
  • Proficiency in programming languages and frameworks commonly used in AI research, such as Python, PyTorch, or Keras
  • Ability to work both independently and collaboratively in a fast-paced research environment to take projects from ideas to shipped products
  • Strong communication skills
  • Strong statistical data analysis skills
  • Experience working with biomedical time series data is a plus
  • Knowledge of patient monitoring and human physiology is a plus
  • Competitive salary and benefits package
  • Opportunities for professional development and growth
  • Supportive work environment that values contributions and opinions
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