Staff Machine Learning Engineer

ASML - San Diego, CA

Full-time - Senior

San Diego, CA

Machinery Manufacturing

About the position

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, and more energy-efficient microchips. The EUV source team in San Diego operates in a fast-paced, uniquely innovative, and challenging 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 is a complex and challenging system requiring 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 who has 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. This Machine Learning Engineer is a key enabler to further develop the site's AI competence. The position requires the design, development, and implementation of complex algorithms involving controller design, system identification, signal processing, and dataset analysis using Artificial Intelligence and Machine Learning techniques. You will work on a wide variety of AI projects, such as physics-based model development, machine learning, and Gen-AI, for the development of the EUV source, partnering with engineering teams to integrate ML models and solutions, ensuring performance optimization and alignment with broader product goals. In this role, you will lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields. You will actively engage in all aspects of model development, from ideation and experimentation to deployment, working with large-scale data sets and intensive hands-on algorithm development. You will also apply scientific and mathematical control design principles and concepts to potential inventions and products, using ML techniques and tools, and conduct laboratory research on algorithm design and validation, as well as ML model development and evaluation. Setting the team's strategic direction and fostering an environment that promotes innovation and professional growth will be key aspects of your responsibilities.

Responsibilities

• Perform the design, development, and implementation of complex algorithms involving controller design, system identification, signal processing and dataset analysis using Artificial Intelligence and Machine Learning techniques.
• Work on a wide variety of AI projects, such as physics based model development, machine learning, Gen-AI, for the development of the EUV source, and partner 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, venturing into new areas within these fields.
• Engage in all aspects of model development, from ideation and experimentation to deployment.
• Work with large-scale data sets and intensive hands-on algorithm development.
• Develop and implement complex algorithms for controller design, system identification, signal processing and dataset analysis using AI and ML techniques.
• Apply scientific and mathematical control design principles and concepts to potential inventions and products, using ML techniques and tools.
• Conduct 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.
• Mentor more junior level algorithm engineers through technical guidance and assistance.

Requirements

• An advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Physics, Engineering or a related field.
• 10+ years' experience overall, with a minimum of 5 years' experience in a similar role.
• Experience with optimization, approximation algorithms, deep learning, and hands-on implementation of these techniques.
• Ability to translate, 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, with the capacity to steer the team's research and practical applications in a collaborative and fast-paced environment.
• Experienced 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, with a particular emphasis on Large Language Models (LLMs) and Generative AI.
• Experience with deep learning frameworks such as Pytorch, TensorFlow and Keras.
• Published research in the field of Machine Learning or AI is highly desirable.
• Excellent written and verbal communication skills.

Nice-to-haves

• Experience in the semiconductor industry is a plus.
• Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected.

Benefits

• Life insurance
• Vacation time
• Paid holidays
• 401(k)