Staff AI/ML Engineer

About Analog Devices

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  and on LinkedIn and Twitter (X).

Staff AI/ML Software Engineer

About the Role
The Staff AI/ML Software Engineer serves as a technical leader responsible for architecting complex AI/ML systems and driving technical strategy. In this role, you will lead multiple initiatives, define vision and direction, and solve highly complex problems requiring in-depth analysis. You will establish best practices, mentor team members, and drive innovation in ML methodologies while working closely with cross-functional leadership to align technical solutions with business objectives.

Key Responsibilities

• Architect complex AI/ML systems that scale across multiple products or services
• Drive technical strategy for ML systems and set direction for implementation teams
• Lead multiple technical initiatives simultaneously with high business impact
• Solve complex problems requiring in-depth analysis and novel approaches
• Establish best practices, standards, and frameworks for ML development
• Mentor and develop team capabilities in advanced ML techniques
• Influence technical decisions across teams and organizational boundaries

Must Have Skills

• ML Systems Architecture: Deep expertise in designing large-scale, robust ML systems with complex requirements
• Advanced ML Algorithms: Mastery of ML algorithms, optimization techniques, and their practical applications
• Technical Leadership: Proven ability to lead technical teams and drive consensus on complex ML approaches
• System Optimization: Expert knowledge in optimizing ML systems for performance, cost, and scalability
• Innovation in ML: Ability to explore and apply cutting-edge ML research to solve difficult business problems
• Cross-Functional Collaboration: Experience working with product, business, and engineering stakeholders at senior levels

Preferred Education and Experience

• Master's or PhD in Computer Science, AI/ML, or related field
• 8+ years of relevant experience in machine learning engineering
• Demonstrated track record of leading complex ML projects with significant business impact

Why You'll Love Working at ADI
At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world.
Your expertise will shape the future of technology, and you'll be supported by a culture that values continuous advancement and professional growth. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect.
 

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.