Qualifications: Ph.D. with a minimum of 3+ years of experience or a Master’s degree with at least 6+ years of experience in an analytical field such as mathematics, physics, or engineering, with extensive experience in physics-informed machine learning and model integration into scalable master models. Experience solving complex, open-ended modeling problems using optimization and deep learning methodologies, with strong expertise in data management and building scalable data and training pipelines for end-to-end model development and training. Strong software development skills in Python, with experience in deep learning frameworks (e.g. PyTorch or JAX); proficiency in C/C++, and Matlab is a plus. Experience with database tools, automation frameworks, and experimental tracking platforms (e.g. MLflow) for managing end to end ML lifecycle. Experience working in cloud and development environments such as Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, and related technologies is a plus. Skills: Ability to clearly and logically communicate ideas and knowledge to various audiences. Demonstrated ability to work effectively as a part of a team and lead investigation and research efforts involving multiple stakeholders and constraints. Proven ability to build trust and credibility, enabling effective leadership through influence. The successful candidate will not only have excelled in their technical field, but will have demonstrated inter-personal and communications strengths. Deep understanding of scientific research methods and strong curiosity. 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 including working while fully gowned in a clean room environment. The employee may occasionally lift and/or move up to 25 pounds. The employee may be required to travel based on business needs. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. The environment generally is moderate in temperature and noise level. Extended periods of time in a clean room environment should be expected. Requires gowning in Class 10K gowning protocol. May need to work in labs with equipment that emit high-pitched noise. May spend extended periods of time at a computer workstation. The current base annual salary range for this role is currently: $135,375-203,063 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 United States 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.