PhysicsX
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Engineer at PhysicsX. Skills: Machine Learning, Data pipelines, 3D point cloud, MLOps. Develop understanding of physics and engineering challenges. Design, build and test data pipelines”
What You'll Achieve.
Drive measurable outcomes; Accelerate hardware innovation; Unlock optimization and automation
Industry & Context.
Problem-solving; Analyze issues; Identify causes; Recommend solutions
3-4 weeks per quarter travel, Customer site travel
What They're Looking For.
Must Have
2+ years’ experience in a data-driven role, Exposure to software engineering concepts, Background in Physics, Engineering, or equivalent
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Develop understanding of physics and engineering challenges
build and test data pipelines
Explore and manipulate 3D point cloud & mesh
Own the delivery of technical workstreams
Create analytics environments and resources
Identify best libraries
Make product design decisions
Translate R&D results into re-usable libraries
Apply and improve engineering best practices
Coach colleagues in adoption of best practices
How You'll Work.
Team & Collaboration
Simulation engineers; Data scientists; Customers; Cross-functional teams
Communication Scope
Customer collaboration
Process & Methodology
Scoping, Delivery
Full Job Description
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 you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. What you will do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and
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