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.
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Machine Learning and AI Scientist
Analog Devices (NASDAQ : ADI) designs and manufactures state-of-the-art semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure, and connect.
Our high-performance, ambitious team is working on state-of-the-art technologies for healthcare diagnostics. The team works at the intersection of advanced research and product development, aiming to both push the boundary of the state-of-the-art while simultaneously impacting the world by deploying these advances commercially.
We actively work and collaborate with a wide variety of disciplines to transform our ambitious visions into reality : ranging from internal manufacturing experts all the way to world-famous physicians for performing clinical trials.
We are looking for an experienced machine learning and AI scientist to join our team to work on a range of diagnostic technologies.
Candidates should describe prior research and development expertise in their cover letter, with descriptions of the types of technologies and processes they have familiarity with.
This candidate will have a leadership role in the team, helping to manage and oversee day-to-day progress as well as longer-term strategy and planning.
The ideal candidate is strongly self-motivated and finds themselves often engrossed and passionate about their work.
Essential Duties And Responsibilities
- Creating novel algorithms specialized for applications relevant to our diagnostic systems.
- Prototyping machine learning and signal processing pipelines for our relevant applications to improve diagnostic quality.
- Working with other researchers and engineers inside the project to build and quickly validate machine learning algorithms with simulations, and data from our real-world hardware systems.
- Staying abreast of state-of-the-art algorithms and generate advances beyond the state of the art.
Qualifications
- PhD in computer science or equivalent experience.
- Expertise in machine learning, optimization, deep neural networks.
- Experience with developing machine learning algorithms for real world applications.
- Experience preparing and applying real world data to machine learning based systems.
- Solid mathematical background.
- Experience with time series analysis algorithms is preferred.
- Interdisciplinary team collaboration experience is preferred.
- Programming experience with Python, C++, MATLAB etc.
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
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