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Principal Machine Learning Researcher (Physical AI)

Freeform
Location
Los Angeles, CA (On-site)
Posted
12 days ago
Department
Machine Learning & AI
Salary
$200,000-$500,000
What they actually want (must-haves)
  • PhD in computer science, applied mathematics, physics, robotics, controls, or a closely related discipline
  • 5+ years of experience in machine learning, applied research, or related technical field
  • Strong foundations in machine learning applied to physical systems, modeling, or control
  • Proficiency in Python and at least one systems-level programming language (C/C++ preferred)
  • Experience working with large-scale, noisy, real-world datasets
Nice to have
  • 10+ years of industry experience
  • Experience with hybrid physics–ML models, digital twins, or simulation-in-the-loop learning
  • Background in autonomy, robotics, model predictive control, optimal control, or reinforcement learning for physical systems
  • Experience with image-based or sensor-based inference in industrial or scientific settings
  • Familiarity with computational geometry or geometric modeling
What the job really is

The Principal Machine Learning Researcher will lead the development of advanced machine learning methods for AI-native metal manufacturing systems. This role involves integrating large-scale physical data with physics-based simulations to enhance modeling accuracy and control performance. Responsibilities include designing machine learning models, developing hybrid modeling approaches, and contributing to real-time closed-loop control systems in production environments.

Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
Things to weigh
  • Salary range is wide and open to negotiation based on individual qualifications
  • Role requires full-time onsite presence with very limited exceptions
  • The company is in a growth stage, which may affect stability and structure
Job score5/5
Benefits5/5
Freshness5/5
Career value5/5
Role clarity5/5
Pay transparency5/5

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