Machine Learning Engineer
Technologies
Python · TensorFlow · MLFlow · Spark · Dask · AWS · Azure · GCP · Docker · Kubernetes · 3D point cloud · mesh data
About PhysicsX
AI-native simulation software stack that replaces slow numerical physics with deep-learning surrogates for design, manufacturing, and operations in aerospace, automotive, semiconductors, energy, and materials.
Series B · 100–200 people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Production engineering · Evidence for this classification:
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Machine Learning Engineer in Delivery, youHow jobs are selected
Employer postings · Data from · Sources