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PhysicsX

Machine Learning Engineer

PhysicsX · San Francisco, CA

Posted about 2 months ago · $150,000 - $190,000

or apply directly on PhysicsX's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
PhysicsX's roles stay open a median of 66 days
Reposted
No
Salary listed
Yes
26% of PhysicsX's roles list one
Ghost-job risk at PhysicsX
high
33 stale, 2 reposted of 42 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from PhysicsX's own greenhouse board since 2026-08-03. Full hiring picture for PhysicsX.

About this role

As a Machine Learning Engineer at PhysicsX, you'll be responsible for designing, building, and testing scalable ML data pipelines while collaborating closely with simulation engineers and data scientists. You'll work on real-world engineering challenges, utilizing advanced machine learning methods, particularly with 3D point-cloud and mesh data. This role involves direct customer interaction, influencing project decisions, and ensuring the practical deployment of AI solutions.

Our read on this posting3.8out of 5
benefits
4/5
freshness
1/5
career value
4/5
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 PhysicsX as an employer.

What you need

  • At least 2 years of industry experience in a commercial, non-research environment
  • Experience applying machine learning methods to real-world engineering applications
  • Experience in ML/Computational statistics/Modelling use-cases in industrial settings
  • 2+ years’ experience in a data-driven role with exposure to software engineering concepts
  • Building machine learning models and pipelines in Python using common libraries and frameworks
  • Experience with distributed computing frameworks

Nice to have

  • Experience in customer-facing roles
  • Experience with supply chain optimization or manufacturing processes

What you get

  • Equity options
  • 5% contribution to 401(k)
  • Private health insurance
  • Enhanced parental leave
  • 20 days of Annual Leave (+ Public Holidays)
  • Personal development support

Worth weighing

  • Salary range is $150,000 - $190,000, which may vary based on experience
  • Role involves significant customer interaction and travel (3-4 weeks per quarter)
  • Hybrid work model based in the San Francisco area
  • Focus on practical deployment of AI solutions may limit exposure to cutting-edge research

Summarised from PhysicsX's posting. Read the full original.

Listed by PhysicsX on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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