Staff Machine Learning Engineer

Introduction

ASML US, including its affiliates and subsidiaries, brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market, and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, leading to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands, with 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

Job Mission

The EUV source team in San Diego operates in a fast-paced, uniquely innovative environment to create new-to-industry solutions with rapid productization to support an aggressive commercialization plan for the EUV technology within ASML. The Controls Department is responsible for the development and engineering of the control loops for the EUV light source system, which requires sophisticated control algorithms, real-time embedded software, high-speed electronics, and precision sensors to produce stable EUV light under dynamic conditions.

We are in search of an accomplished and driven Machine Learning Engineer with a robust understanding of Large Language Models and Generative AI. Your primary role will involve decoding and applying groundbreaking research and setting the course for the team in this thriving field, further developing the site's AI competence.

Duties and Responsibilities

• Design, develop, and implement complex algorithms involving controller design, system identification, signal processing, and dataset analysis using Artificial Intelligence and Machine Learning techniques.
• Work on a variety of AI projects, such as physics-based model development, machine learning, and Gen-AI, to develop the EUV source, partnering with engineering teams to integrate ML models and solutions, ensuring performance optimization and alignment with broader product goals.
• Lead the exploration and application of Large Language Models and Generative AI.
• Engage in all aspects of model development, from ideation and experimentation to deployment.
• Work with large-scale datasets and intensive hands-on algorithm development.
• Apply scientific and mathematical control design principles to potential inventions and products, conducting laboratory research on algorithm design and validation, as well as ML model development and evaluation.
• Set the team's strategic direction, fostering an environment that promotes innovation and professional growth.
• Other duties as assigned.

Automation/Algorithms/Controls Specific

• Work from broadly defined systems specifications to determine appropriate top-down automation, control system, and algorithm architecture.
• Generate software and/or firmware requirements for control algorithm implementations.
• Plan and execute laboratory research pertaining to algorithm design and validation in lab test benches and/or cleanrooms.
• Design and build tools that allow debugging, analysis, and performance evaluation of algorithms.
• Mentor junior-level algorithm engineers through technical guidance and assistance.

Skills

• Experience with optimization, approximation algorithms, deep learning, and hands-on implementation of these techniques.
• Ability to translate and statistically analyze large amounts of data and effectively report problems through written and/or graphical formats.
• Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
• Proven problem-solving and leadership abilities, capable of steering the team's research and practical applications in a collaborative environment.
• Experience in one or more of the following ML areas: Computer Vision, NLP, GenAi, AR/VR, Document Intelligence, or similar areas.
• In-depth experience in Machine Learning, particularly with Large Language Models (LLMs) and Generative AI.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
• Published research in Machine Learning or AI is highly desirable.
• Excellent written and verbal communication skills.

Education and Experience

• An advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Physics, Engineering, or a related field.
• 10+ years of overall experience, with a minimum of 5 years in a similar role.
• Experience in the semiconductor industry is a plus.
• Ongoing professional development in Machine Learning and AI is expected.

Other Information

• This position is located on-site in San Diego, CA, on a hybrid schedule (3 days onsite, 2 days remote). It requires onsite presence for in-person work-related events, trainings, and meetings.
• Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus.
• Occasionally lift and/or move up to 20 pounds.
• Specific vision abilities required include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses, and gloves for the entire duration of the shift.

EOE AA M/F/Veteran/Disability

Potential candidates will meet the education and experience requirements provided above and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.

#LI-MO1

The current base annual salary range for this role is:

Pay scales are determined by role, level, location, and alignment with market data. Individual pay is determined through interviews and an assessment of several factors unique to each candidate.

The Company offers employees and their families medical, dental, vision, and basic life insurance. Employees can participate in the Company's 401k plan and receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year.

All new ASML jobs have a minimum application deadline of 10 days.

This position requires access to controlled technology, as defined in the Export Administration Regulations. Qualified candidates must be legally authorized to access such controlled technology prior to beginning work.

Diversity and Inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity.

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Request an Accommodation

ASML provides reasonable accommodations to applicants for employment and employees with disabilities. If you need an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHRServiceCenter@asml.com to initiate the company's reasonable accommodation process.

Please note: This email address is solely intended for initiating ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.