Visionary AI Architect for Edge and Cloud Device Optimization

2 weeks ago


London, Greater London, United Kingdom Medtronic Full time

Company Overview

MEDTRONIC, a leading medical technology company, is committed to bringing safe and standardized surgical care to patients worldwide. Founded by two visionary surgeons in 2019, the Digital Technologies division is part of the Surgical Robotics operating unit.

Salary

We offer a competitive salary of $170,000 per year, reflecting the importance of this role in optimizing machine learning models for edge and cloud devices.

Job Description

As a Senior Artificial Intelligence Engineer at Medtronic, you will join a talented team exploring new concepts through fast iterative prototyping. Your key responsibilities will include:

  • Benchmarking and optimizing existing network architectures for low latency on various platforms
  • Designing and implementing optimized Machine Learning models for edge and cloud devices
  • Collaborating with cross-functional teams to develop production pipelines for real-time video processing
  • Delivering high-quality code and sharing results with the team

Required Skills and Qualifications

To succeed in this role, you should have:

  • A Master's or PhD in Computer Science, Mathematics, or a related field
  • Proven expertise in designing and building computer vision networks using PyTorch
  • Familiarity with optimization methods (pruning, sparsity, quantization, etc.) and AI optimization tools (TensorRT)
  • Strong knowledge of Python and relevant numerical libraries (NumPy, scikit-learn, OpenCV, etc.)

Benefits

We offer a comprehensive benefits package, including:

  • A flexible working environment
  • An Annual Incentive Plan percentage dependent on company results
  • A pension scheme and group discount on healthcare insurance

Our Commitment

At Medtronic, we are dedicated to creating an inclusive, diverse, and equitable workplace culture where all employees feel valued and respected. We strive to address systemic inequities in our communities and accelerate innovation that brings lifesaving technologies to more people around the world.



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