PhysicsX

PhysicsX

Machine Learning Engineer

San Francisco, CA

H1B sponsorship available$150k-$190kDetected 15 days ago
PythonAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDAPI DevelopmentRESTMachine LearningDeep LearningTensorFlowSparkData EngineeringData ScienceMLOpsStatisticsExcelSupply ChainResearchCommunicationCollaborationProblem Solving

About the role

  • Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
  • We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area.
  • This is work with real-world impact - and something you can be proud to stand behind.

Responsibilities

  • 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
  • 2+ years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
  • Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey!
  • Build what actually matters

Requirements

  • you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling
  • With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment.

Compensation

  • $150,000 - $190,000 depending on experience

Benefits

  • 🚀 Equity options - share meaningfully in the company you're helping to build.
  • 💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.
  • 🏥 Private health insurance - comprehensive cover for you, offering total peace of mind.
  • 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
  • ☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

Company info

  • 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
  • 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.
  • As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact.
  • You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.
  • You've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; 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.
  • You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

Equal opportunity

  • We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation.

Visa & Work Authorization

  • To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics
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This listing is sourced directly from PhysicsX's careers page and normalized into a canonical job model.