Senior Research Scientist, Machine Learning

About Analog DevicesAnalog 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 and on LinkedIn and Twitter (X).Employer: Analog Devices, Inc. Job Title: Senior Research Scientist, Machine LearningJob Requisition: 1010.292.5 / R262485Job Location: Boston, MassachusettsJob Type: Full TimeRate of Pay: $170,445 - $216,000 per yearDuties: 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.Partial telecommute benefit (up to 2 days/week work from home).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) 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.Must also possess the following (quantitative experience requirements not applicable to this section):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; andDE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.Contact: Eligible for employee referral program. Apply online at and Reference Position Number: R262485.For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.EEO is the Law: Notice of Applicant Rights Under the Law.Job Req Type: ExperiencedRequired Travel: NoShift Type: 1st Shift/DaysActual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.SummaryLocation: US, MA, BostonType: Full time