Skills
Machine Learning
Model Deployment
Applied AI for Simulation
About the Role
PhysicsX is a deep-tech company building AI-driven simulation software that helps engineers and manufacturers accelerate high-fidelity, multi-physics workflows. We’re looking for a Senior Machine Learning Engineer to join our Delivery team and help bring advanced AI capabilities into real-world engineering environments.
Responsibilities
- Develop and deploy machine learning models that power AI inference for simulation and optimization workflows.
- Collaborate with engineering and product teams to translate requirements into scalable ML solutions.
- Support delivery of ML features across the engineering lifecycle, from design through manufacturing and operations.
- Contribute to model performance, reliability, and continuous improvement in production settings.
Requirements
- Proven experience building and shipping ML systems in production.
- Strong fundamentals in machine learning and applied modeling techniques.
- Experience working in cross-functional teams to deliver outcomes on timelines.
- Ability to communicate technical concepts clearly to stakeholders.
Benefits
- Opportunity to work on high-impact AI for advanced engineering and industrial use cases.
- Work with customers across aerospace & defense, energy, semiconductors, automotive, and more.
- Join a team focused on innovation at the intersection of physics and software.
Note: We’re recruiting for multiple positions—please apply for the role that best matches your skills and career goals.
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