Data Science / AI Engineer

Introduction to the job

ASML 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, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States. We are currently recruiting for positions located at our office in San Diego, CA (EUV laser source creation).

As the world's leading semiconductor lithography machine manufacturer, ASML enables chip manufacturers to make cheaper, faster, chips, thereby enabling all the technology you use today. The machines we make require high speed, magnetically levitated stages with sub-nanometer accuracy, robotic mask delivery systems, mechatronic devices to shape and correct the laser illumination source, and optical modules that can detect sub-nanometer alignment errors and pattern distortions. Temperature controlled to milli-kelvins, particulate free, and operating in complete vacuum, the technical challenges are endless. Solving these requires expertise in servo controls, mechatronics, mechanical engineering, electrical engineering, embedded software engineering, optics, physics, manufacturing, industrialization, and more. If you like extreme challenges and want to help bring the next generation of technology to the world, then come join ASML.

The EUV Source team in San Diego operates in a fast-paced, uniquely innovative, and challenging environment to deliver new-to-industry products supporting the commercialization of EUV technology by ASML. The Data Science/AI Engineer will be part of the EUV Source Performance team within ASML San Diego. Due to high complexity of the EUV light source, we, as Source Performance, are a dedicated team with the mission to validate and ensure that EUV sources meet or exceed customer performance requirements and expectations. In order to execute this mission, EUV Source Performance acts as the critical enabler of knowledge acquisition and transfer throughout the products development process, via:

• Substantive participation in the technology development and system definition process for products in definition and early development stage.

• Ensuring quality of the module to sub-system to system-level performance testing and validation for the products in integration phase.

• Driving technology improvements enabling new products field release and refinement of system specifications based upon deep understanding of factory and field performance.

• The creation and delivery of analytic tooling, action plans and procedures to drive maximum solving power of our customer support organizations for sustaining products.

Role and responsibilities

• Collaborate to design and implement end-to-end AI and data science lifecycle, from data collection and preprocessing to model deployment and monitoring, providing technical leadership and guidance.

• 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 and cross-functional groups (systems engineering, development engineering, scientists, IT, global customer support personnel, manufacturing personnel) to drive results in AI projects.

Education and experience

• Bachelor or MS in Computer Science, Data Science, or Machine Learning.

• Minimum 8 to 10 years' experience in a similar role.

• The ideal candidate will be a hands-on, full-stack engineer (data engineering, data science, and AI) with experience in taking AI/ML applications from concept to deployment. This includes:

• Building datasets suitable for AI/ML using SQL, pandas, and pyspark, and in particular scaling those jobs on databricks to GB and TB scale

• Exploratory analysis, preprocessing, and preparation of datasets for suitable AI/ML pipelines

• Ability to interface with domain experts to understand EUV physics and operational principles necessary to contextualize data properly and gain novel insights that domain experts will find accurate and relevant

• Experience with physics inspired neural networks or dynamical systems

• Experience spanning classical ML techniques (sklearn, regression, clustering, classification) to deep learning

• Experience with LLMs, RAG, fine-tuning, vector databases and embedding models (nice to have)

• Developing and optimizing neural network architectures using frameworks such as TensorFlow and PyTorch.

• Implementing scalable machine learning models and algorithms in a cloud-based environment.

• 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.

Skills

• 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.

Other information

PHYSICAL DEMANDS AND WORK ENVIRONMENT

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.

• The employee is occasionally required to move around the campus.

• The employee may occasionally lift and/or move up to 50 pounds.

• Will require travel dependent on business needs; travel to overseas and domestic customer sites for ~ 10 % of time may be required.

• Can work under deadlines.

• May be required to climb or balance.

• Work schedule may vary and include evenings and weekends as well as long hours based on business needs.

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 that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

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. We recognize that diversity and inclusion is a driving force in the success of our company.

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ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process.

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