2026/2027 PhD Residency - Scientific ML (SciML) and Multiscale Physics (Early Stage Project)

Location: X's headquarters in Mountain View, California, United States

Base salary: $100,000–$157,000 per year, plus benefits

Company

hirify.global develops ambitious technology projects combining advanced research, engineering, experimentation, and manufacturing.

What you will do

• Combine fluid dynamics and machine learning to address materials discovery and manufacturing challenges.
• Build advanced simulations and models based on scientific machine learning and multiscale physics.
• Replace computationally intensive forward solvers with lean, physics-informed architectures.
• Parameterize unresolved or complex physics, including phase coupling and closure terms, in autodifferentiable physics solvers.
• Develop custom equipment and processes and work with laboratory instrumentation and physical experimentation.
• Implement, optimize, and scale relevant scientific machine learning frameworks.

Requirements

• Must be actively enrolled in a PhD program.
• First-principles understanding of multiscale physics, from continuous fluid dynamics to discrete particle modeling.
• Proven expertise in scientific machine learning, including parameterizing complex physics into autodifferentiable physics solvers.
• Experience implementing, optimizing, and scaling SciML frameworks.
• Practical familiarity with laboratory environments and physical instrumentation, or a demonstrated inclination to build and experiment.
• Must work at X's headquarters in Mountain View, California.

Nice to have

• Experience with PINNs, neural operators, and traditional machine learning.
• Proficiency with high-performance simulation tools such as COMSOL or OpenFOAM.
• Experience applying machine learning to complex physical systems, including turbulence, multiphase flow, or inverse design.

Culture & Benefits

• Year-round rolling start dates.
• Flexible six-month to one-year program duration based on project needs and availability.
• Placement within a confidential or public X project.
• Competitive pay and benefits.
• Community of AI and ML residents and access to technical talks with AI leaders.