Senior Research Scientist, Machine Learning

Duties

• 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.

Requirements

• Must have a 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).
• Must have 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.
• Must possess the following (quantitative experience requirements not applicable to this section):
• 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++.

Contact

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R262485.

Benefits

• Medical, vision and dental coverage
• 401k
• Paid vacation, holidays, and sick time
• Other benefits