Principal Machine Learning Researcher (Physical AI)
Freeform · Los Angeles, CA (On-site)
Posted 8 days ago · $200,000-$500,000
or apply directly on Freeform's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Freeform's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 64% of Freeform's roles list one
- Ghost-job risk at Freeform
- high 45 stale, 0 reposted of 76 open
- Hiring momentum
- 87 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Freeform's own greenhouse board since 2026-08-03. Full hiring picture for Freeform.
About this role
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
- 5/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Freeform as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Freeform's posting. Read the full original.
Listed by Freeform on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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