2 days ago
Base Salary
$140k - $190k/yr
Responsibilities
- Own the ML approach for manufacturing and MRO data from modeling through deployment in customer production environments across cloud, on-premises, and edge settings.
- Build production ML systems using sparse, drifting, miscalibrated process and sensor data, including process logs, sensor traces, inspection records, and small DoE datasets.
- Select between physics simulation, reduced-order models, and learned models, and fuse simulation output with shop-floor measurements.
- Set uncertainty quantification and validation standards, design experiments, and assess whether data is sufficient for training.
- Build end-to-end training and inference pipelines and APIs using Python, PyTorch, Pandas, FastAPI, SciPy, Kubeflow, and related tools.
- Lead data and ML system scoping and architecture, define product requirements, communicate trade-offs, mentor engineers and data scientists, and support customer scoping and development.
Requirements
- At least 5 years of industry experience after a Master’s or PhD in a commercial, non-research environment.
- Demonstrated experience building and deploying ML on manufacturing process, industrial equipment, or sensor data and measuring its production impact.
- Experience delivering ML systems end to end at scale, including reliable data pipelines, model deployment, APIs, and production tooling.
- Experience combining simulation outputs with shop-floor measurements and establishing uncertainty quantification and validation standards.
- Ability to lead technical initiatives, make architecture and product decisions, communicate with senior stakeholders and process owners, and mentor technical teams.
- Experience with 3D point-cloud and mesh data is relevant to the role.
- Experience in aerospace or another regulated manufacturing environment is preferred but not required.
- Willingness to travel to customer sites worldwide approximately 3–4 weeks per quarter.
Benefits
- Hybrid work model combining time in the New York office with work-from-home days.
- Equity options, a 5% 401(k) contribution, private health insurance, enhanced parental leave, 20 days of annual leave plus public holidays, personal development support, subsidized Gympass/Wellhub, and a Flexible Spending Account.
- Free team lunch once per week.
- The role involves customer-site travel worldwide approximately 3–4 weeks per quarter.
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About PhysicsX
PhysicsX builds an AI-driven simulation software stack that enables high-fidelity, multi-physics modeling and optimization for engineering and manufacturing teams. The company sells software and delivery services to enterprises in aerospace and defense, automotive, semiconductors, materials, and energy. It is privately held and headquartered in London, with offices in London and New York.