Staff Engineer, Machine Learning

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Deep Learning, Docker, Keras software library, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

Responsibilities 

• As a Staff AI/ML Engineer, you be responsible for defining, training, and deploying AI/ML models to solve complex business and semiconductor-specific problems.

• Act as a technical lead for cross-functional teams driving AI R&D and putting models into production, enabling delivery of AI solutions to meet ADI’s strategic goals.

• Perform data engineering and exploratory data analysis to extract meaningful insights; analyze and select features to optimize model performance.

• Explore and select appropriate tools and models for each problem, including using deep learning, LLMs, Transformers, NLP, and ML models.

• Architect and implement solutions adhering to modern software design principles, ensuring best practices in AI architecture, CI/CD, and MLOps.

• Effectively communicate complex technical findings and developments to a diverse audience, including non-technical stakeholders.

• Conduct research to stay ahead of the latest developments in AI, communicate learnings to the team, and evaluate / recommend new technologies for the platform.

Qualifications

• 10+ years of experience in software engineering or data science, including 5+ years developing AI/ML solutions.  At least 3+ years in a technical leadership role.

• Degree in Computer Science, Electrical Engineering, Mathematics, or a related field.  M.S. or Ph.D. preferred.

• Broad understanding of and experience with ML, deep learning, LLMs, and modern AI trends.  Demonstrated deep expertise in at least one specific AI domain.

• Significant experience leading end-to-end AI / data science efforts, from AI use-case analytics, to selecting appropriate models and technologies, to building and deploying working solutions.

• Expertise with relevant languages and technologies such as Python, C++, Azure or AWS.

• Must have extensive experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, etc.

• Demonstrated experience in managing datasets, extracting features, and visualizing results.

• Experience with data orchestration tools and modern DevOps / MLOps processes (e.g., containerization, Docker, Kubernetes).

• Competency in any of the following is also beneficial: electronics and signal processing, control theory, image processing, industrial automation, robotics or silicon fabrication.

• A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams.

LI-VD1

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.