Senior Machine Learning Engineer

physicsbirds.dev

New York, United States
Base: $200,000 - $250,000 depending on experience;...
On-site
3+ years industry experience post masters or phd
End-to-end ml system deployment at scale
Python pytorch pandas fastapi scipy kubeflow
PhysicsX is building an AI-driven simulation software stack to accelerate hardware innovation across advanced industries like Aerospace and Automotive

Job Summary

  • PhysicsX is building an AI-driven simulation software stack to accelerate hardware innovation across advanced industries like Aerospace and Automotive.
  • The role requires owning the deployment of ML models and engineering surrogates to customer production environments while leading architecture design.
  • Candidates will receive equity options, comprehensive health insurance, enhanced parental leave, and a hybrid work model blending office and remote days.

Matching Summary

PhysicsX is building an AI-driven simulation software stack to accelerate hardware innovation across advanced industries like Aerospace and Automotive.

Salary

Base: $200,000 - $250,000 depending on experience; Bonus/Equity: Equity options available; Benefits: 5% 401(k) contribution, private health insurance, free weekly lunch

Skills & Requirements

Must-have

  • 3+ years industry experience post Masters or PhD
  • End-to-end ML system deployment at scale
  • Python PyTorch Pandas fastAPI Scipy Kubeflow
  • 3D point-cloud and mesh data manipulation
  • Cloud and on-prem ML infrastructure

Nice-to-have

  • Experience with CAE CFD FEA data
  • Strong stakeholder communication skills
  • Ability to mentor engineers and data scientists
  • Willingness to travel 3-4 weeks per quarter
  • Pragmatic product decision making

Key Requirements

  • US citizenship required due to aerospace and defense work
  • At least 3 years commercial industry experience
  • Post-Masters or PhD degree in relevant field

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter