Job details

Machine Learning Scientist

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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena – sound, light, radio waves, voltages, currents, and motion – into high-fidelity data. Our mission is to build the Intelligent Edge, where AI transforms how we solve challenging problems by combining breakthrough algorithms, data, advanced circuits, deep application knowledge, and close customer relationships.

Analog Devices has established the AI Solutions Business Unit to deliver AI-enabled products to the broad array of markets we serve. The AI Solutions BU develops products at multiple technology stack layers, from AI-enabled software applications to deeply embedded AI algorithms in our silicon. The AI Solutions BU collaborates with our Market BUs to solve problems beyond the reach of pure semiconductor, circuit-level, or architectural innovation.

Responsibilities include:

Create novel machine learning models, training pipeline and application of machine learning to solve key challenges relevant to Analog Devices’ business.
Develop proof-of-concept to validate the performance and other relevant metrics of the machine learning solutions
Lead or contribute to productization of machine learning solutions in collaboration with Analog Garage, Analog Devices’ R&D lab
Work closely with engineers in AI Solutions BU to establish and maintain a state-of-the-art machine learning framework and best practices for Analog Devices
Stay abreast of state-of-the-art machine learning algorithms, and research advances beyond the state of the art in areas relevant to Analog Devices.

Qualifications:

Assumes PhD degree or equivalent experience.
Candidates should have a strong background in machine learning and AI, and at least one of the following areas: signal processing, computer vision, communication systems, algorithm development, or software development.
This search is open to new Ph.D.’s as well as more experienced candidates. More senior candidates should have experience in organizing and leading technical projects.

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: Experienced

Required Travel: No

Shift Type: 1st Shift/Days

By Analog Devices

Analog Devices, Inc. (ADI) is a leading global technology company—designing and manufacturing technical products, solutions, and ecosystems that fully understand the world around us and help make it better. ADI captures data where it is born, at t...

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FUNDING

Public

INDUSTRY

Electronics Manufacturing

TEAM SIZE

10000+

LOCATION

Hybrid, based in Wilmington, MA

DATE POSTED