Machine Learning Engineer

About the Company

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.

Responsibilities

• Work closely with simulation engineers, data scientists, and customers to understand physics and engineering challenges
• Design, build, and test reliable, scalable, and deployable machine learning data pipelines
• Explore and manipulate 3D point cloud and mesh data
• Own the delivery of technical workstreams
• Create analytics environments and resources in the cloud or on-premise
• Identify best libraries, frameworks, and tools for specific tasks
• Translate R&D and project outputs into reusable libraries, tooling, and products
• Apply and improve engineering best practices and coach colleagues

Requirements

• Experience applying ML methods (including 3D graph/point cloud deep learning) to real-world engineering
• 2+ years of experience in a data-driven role with exposure to software engineering (CI/CD, API design, MLOps)
• Proficiency in Python and common ML libraries (e.g., TensorFlow, MLFlow)
• Experience with distributed computing frameworks (e.g., Spark, Dask)
• Experience with cloud platforms (AWS, Azure, GCP) and HPC computing
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Background in Physics, Engineering, or equivalent
• Ability to travel to customer sites (average 3-4 weeks per quarter)

Benefits

• Equity options
• 5% 401(k) contribution
• Private health insurance
• Enhanced parental leave (3 months paternity, 6 months maternity full pay)
• 20 days of Annual Leave plus Public Holidays
• Personal development support
• Subsidized Gympass / Wellhub
• Flexible Spending Account (FSA)