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Senior Machine Learning Engineer

PhysicsX· Delivery
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Hybrid (New York, NY)$200k - $250kfull-timePosted 11mo ago

About the role

Senior ML Engineer focused on delivering end-to-end ML solutions in a customer-facing, engineering-driven environment. Leads deployment of ML models and surrogates, designs data/ML architectures, mentors others, and travels to customer sites to implement solutions on-site. Role emphasizes impact, scalability, and collaboration with data scientists, simulation engineers, and customers.

Responsibilities

  • Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments.
  • Communicate results and trade-offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
  • Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
  • Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments.
  • Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision-making under pressure.
  • Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, collaborating on-site.
  • Own the scoping of new projects and work-streams with existing customers and participate in bringing new customers to PhysicsX.

Qualifications

  • At least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment.
  • Experience shipping ML systems end-to-end and at scale; ability to work with 3D point-cloud and mesh data for geometry-aware modelling.
  • Strong ability to translate R&D/project outputs into reusable libraries, tooling and products.
  • Strong communication skills to present results and trade-offs to senior stakeholders.

Skills

Required:ML deploymentdata/ML system architecture

Benefits

  • Equity options
  • 5% contribution to 401(k)
  • Free team lunch 1x/week
  • Private health insurance
  • Enhanced parental leave (3 months full pay paternity, 6 months full pay maternity)
  • 20 days of Annual Leave (+ Public Holidays)
  • Personal development support
  • Gympass / Wellhub (subsidized) for you and up to 3 family members
  • Flexible Spending Account (FSA) for eligible healthcare expenses
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

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