Senior Research Scientist, Machine Learning

Analog Devices•Boston, MA

1d•Hybrid

About The Position

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Come join ADI – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

Requirements

Master’s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.
Demonstrated Expertise ("DE") in machine learning ("ML") algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax.
DE developing and applying neural networks, deep learning, transformers, and Large Language ML models.
DE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.

Responsibilities

Design, implement, and optimize novel Machine Learning (“ML”) algorithms specialized for applications, such as energy, healthcare, and robotics.
Develop software simulations and analyze the performance of algorithms across various simulated and real-world datasets and hardware-constrained environments.
Help with prototyping systems, algorithms, and methods to prove and validate their performance and practicality.
Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement.
Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.