Data Science / AI Engineer

$130,125 - $216,875/Yr

ASML - San Diego, CA

Full-time - Mid Level

San Diego, CA

Machinery Manufacturing

About the position

ASML US, including its affiliates and subsidiaries, is at the forefront of developing lithography machines that are essential for producing faster, cheaper, and more energy-efficient microchips. The Data Science/AI Engineer will join the EUV Source team in San Diego, which operates in a fast-paced and innovative environment focused on the commercialization of EUV technology. This role is critical in ensuring that EUV sources meet or exceed customer performance requirements through a dedicated team effort. The Data Science/AI Engineer will contribute to the technology development and system definition process, ensuring quality performance testing and validation during the integration phase of products. This position involves driving technology improvements and creating analytic tools to enhance customer support for sustaining products. The Data Science/AI Engineer will be responsible for extracting maximum business value from available data and refining requirements for the data engineering team to ensure a comprehensive dataset is accessible. This role requires executing data science and AI projects that advance ASML's capabilities, including physics-based model development, machine learning, and the creation of digital twins for the EUV source and its components. A deep understanding of multiple engineering disciplines is essential for success in this role, along with strong technical skills, problem-solving abilities, and a commitment to lifelong learning. Interpersonal skills are also crucial for building effective relationships across various functions within the organization. The position involves participating in the end-to-end AI and data science lifecycle, collaborating with engineers to apply data science solutions to complex problems, and producing clear technical documentation. The Data Science/AI Engineer will work closely with cross-functional teams to set technical direction and achieve milestones, and may require travel to customer sites and other ASML locations for collaboration and reporting. This role is located in San Diego, CA, and operates on a hybrid schedule of three days onsite and two days remote, necessitating onsite presence for meetings and teamwork.

Responsibilities

• Contribute towards the technical roadmap representing the data science and AI activities of the site that supports the product roadmap and aligns with business objectives.
• Participate in the end-to-end AI and data science lifecycle, from data collection and preprocessing to model deployment and monitoring.
• Collaborate with other engineers in the best applications of data science solutions for various complex problems.
• Apply theoretical models, concepts, methods, and novel experimental techniques to quantitatively interpret performance of EUV source systems across a wide range of issues and multiple technical disciplines.
• Produce clear, concise technical documentation in defined company formats, present results and align with cross-functional teams.
• Work closely with cross-functional groups (systems engineering, development engineering, scientists, IT, global customer support personnel, manufacturing personnel, senior management, marketing, external customers) to set clear technical direction and achievable milestones.
• Travel as required to both customer sites and other ASML sites for the purposes of reporting, alignment, and collaboration.
• Complete service, expense reports, and other administrative responsibilities in accordance with ASML's procedures and with supervisor's approval.
• Other duties as assigned.

Requirements

• MS in Computer Science, Data Science, or Machine Learning; PhD preferred. Candidates with a degree in Physics that have specialized their careers in data science will also be considered.
• Minimum of 3 years' experience in a similar role.
• Experience in the semiconductor industry is a plus.
• Significant experience working in cloud and development environments: Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, Python, MATLAB, and related technologies.
• Proficiency with MLFlow for managing the end-to-end machine learning lifecycle, including experimentation, reproducibility, and deployment.
• Extensive experience in designing and implementing machine learning and deep learning architectures, including developing and optimizing neural network architectures using frameworks such as TensorFlow and PyTorch.
• Experience with Natural Language Processing (NLP), Computer Vision, and other AI domains.
• Knowledge of model deployment and serving strategies, including the use of containerization technologies such as Docker and Kubernetes.
• Proficiency in using GPU and TPU hardware accelerators for deep learning training and inference.
• Understanding of the concept of large complex system integration and practices.
• Understanding of the concepts of optics and lasers, plasma generation, and control systems.
• Excellent analytical and troubleshooting skills.
• Excellent inter-personal and customer service skills, with an advanced understanding of customer relationship building.
• Excellent written and verbal communication skills.
• Ability to reduce large amounts of data, create a concise summary, and effectively report results through written and/or graphical formats.
• Ability to define and execute tasks based on project descriptions with minimum or no supervision.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Basic life insurance
• 401k plan
• Vacation leave (8 hours per month)
• Paid holidays (13 throughout the year)