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Machine Learning Engineer

PhysicsX· Delivery
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Hybrid (New York, NY)$150k - $190kFull-timePosted 6mo ago

About the role

Machine Learning Engineer in Delivery at PhysicsX, a physics AI company delivering practical AI-enabled engineering solutions for industrial applications. Role involves end-to-end ML pipelines, 3D point-cloud/mesh processing, customer-facing delivery, and collaboration with data scientists and simulation engineers.

Responsibilities

  • Work closely with simulation engineers, data scientists and customers to understand the 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

Qualifications

  • Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications
  • Experience in ML/Computational statistics/Modelling use-cases in industrial settings
  • 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 with 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 skills with quick issue analysis and solutions
  • Excellent collaboration and communication skills
  • Background in Physics, Engineering, or equivalent

Skills

Required:Machine learning application to engineering3D point cloud / mesh data processingPython ML stackCloud platformsContainerization / orchestrationCustomer-facing delivery
Nice to have:Distributed computing

Benefits

  • Equity options
  • 5% contribution to 401(k)
  • Free team lunch 1x/week
  • Private health insurance
  • Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity
  • 20 days of Annual Leave (+ Public Holidays)
  • Personal development support
  • Gympass / Wellhub (subsidized) for the 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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