Physics-Informed Machine Learning Scientist

Location: San Diego, California, United States. The role involves campus, laboratory, and clean-room work, including Class 10K gowning, with occasional business travel. Candidates must be legally authorized to access technology controlled under United States export regulations.

Base annual salary: $135,375–$203,063.

Company

hirify.global develops and services advanced lithography machines that enable leading chipmakers to produce smaller, more powerful, and energy-efficient microchips.

What you will do

• Build scalable data-management frameworks for test-bench and source-prototype datasets.
• Develop physics-informed machine-learning models and scientific simulations for system-level trade-off analysis and source optimization.
• Integrate physics-based models into a maintainable master virtual model and deployment infrastructure.
• Design anchoring experiments, analyze test results, correlate models, and reduce uncertainty from submodule to full-system level.
• Support technology roadmaps, experimental design, performance requirements, and de-risking activities for product teams.
• Troubleshoot data streaming, storage, query, code, and algorithm issues while communicating findings to engineering and product-development teams.

Requirements

• Ph.D. with at least 3 years of experience, or a master’s degree with at least 6 years of experience, in mathematics, physics, engineering, or a related analytical field.
• Extensive experience with physics-informed machine learning, model integration, optimization, and deep learning.
• Strong experience building scalable data-management, training, and end-to-end ML pipelines.
• Strong Python development skills and experience with PyTorch or JAX; proficiency in C/C++.
• Experience with databases, automation frameworks, experimental tracking platforms, and ML lifecycle management.
• Legal authorization to access United States-controlled technology is required before starting the role.

Nice to have

• Experience with MATLAB.
• Experience with Azure Kubernetes Service, Google Distributed Cloud Edge, Apache Spark, Azure Databricks, or related cloud and development technologies.

Culture & Benefits

• Work in a multidisciplinary research environment spanning science, engineering, modeling, and product development.
• Medical, dental, vision, and basic life insurance for employees and families.
• Participation in the company 401(k) plan.
• Eight hours of vacation leave per month and 13 paid holidays annually.
• Inclusive workplace with equal-opportunity employment and reasonable accommodations.