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Machine Learning Engineer

PhysicsX· Delivery
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Hybrid (San Francisco, CA)$150k - $190kfull-timePosted 4mo ago

About the role

Machine Learning Engineer in Delivery focused on understanding physics/engineering challenges, building scalable ML data pipelines, and deploying practical AI solutions for industrial customers. Hybrid role based in the San Francisco area with travel to customer sites.

Responsibilities

  • Work closely with simulation engineers, data scientists and customers to understand physics and engineering challenges
  • 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 products
  • Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption
  • Travel to customer sites in North America, Europe, Asia, Oceania for an average of 3-4 weeks per quarter to collaborate with customers on-site

Qualifications

  • Experience applying ML methods (including 3D graph/point cloud deep learning) to real-world engineering applications with measurable impact in industry settings
  • Experience in ML/Computational statistics/Modelling use-cases in industrial settings is encouraged
  • Track record of scoping and delivering projects in a customer facing role
  • 2+ years’ experience in a data-driven role with exposure to software engineering concepts and best practices (versioning, testing, CI/CD, API design, MLOps)
  • Building ML models and pipelines in Python using libraries/frameworks (e.g., TensorFlow, MLFlow)
  • Distributed computing frameworks (e.g., Spark, Dask)
  • Cloud platforms (AWS, Azure, GCP) and HP computing
  • Containerization and orchestration (Docker, Kubernetes)
  • Strong problem-solving, analytical and communication skills
  • Background in Physics, Engineering, or equivalent

Skills

Required:3D point cloud / mesh data processingPython ML engineeringTensorFlowCI/CD
Nice to have:MLFlow

Benefits

  • Equity options
  • 5% contribution to 401(k)
  • Private health insurance
  • Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave
  • 20 days of Annual Leave (+ Public Holidays)
  • Personal development support
  • Gympass / Wellhub (subsidized) for employee and up to 3 family members
  • Flexible Spending Account (FSA)
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

AIIndustrial InnovationDesignManufacturingOperationsAI ToolsProduct Lifecycle
Company profileWebsite

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