Senior Machine Learning Engineer

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 Senior Machine Learning Engineer will be part of the EUV Droplet Generator Controls team within ASML San Diego. The Droplet Generator is sometimes referred to as the "heart" of the EUV source and supplies the tin which fuels EUV generation. This requires control and optimization where we produces tin droplets 27um in diameter, over 100 m/s in speed and position them with um and ns accuracies.

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.
• 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.

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

• Minimum 5 years' experience in a similar role.

• Perform verification of SDS, verify design specifications from team members and contribute to the testing process (TPS, a-test, (sub system) TAR, b-test).

• Integrate sub-systems into the system, execute configuration management, and provide support to projects.

• Structural trouble shooting capabilities on functional level and manages many technical uncertainties at sub-module level and develops creative solutions to solve uncertainties.

• The ideal candidate will have experience in designing and implementing machine learning and deep learning architectures. This includes:
• 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.
• Experience with Natural Language Processing (NLP), Computer Vision, and other AI domains.
• 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.
• 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

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.
• May require travel dependent on business needs.
• Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Can work under deadlines.
• The environment generally is moderate in temperature and noise level.
• Must be able to wear disposable rubber gloves for entire duration of shift.
• Wearing of eye protection in manufacturing areas is required.
• Must be able to read and interpret data, information, and documents.
• Can observe and respond to people and situations and interact with others encountered in the course of work.
• Can learn and apply new information or skills.

The current base annual salary range for this role is currently:

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.

The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US.

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 (15 C.F.R. * 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

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 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.