PhysicsX
Senior Machine Learning Engineer
$200K–$250K
New York, United States +1 · Senior · Full-time · Posted Sep 19, 2025
- Location
- New York, United States
New York, New York, United States - Experience
- At least 3 years of industry experience post-Master’s or PhD in a commercial, non-research environment.
- Education
- Master’s or PhD
- Visa sponsorship
- Offers may be conditioned on authorization to receive technology controlled under U.S. export control laws without sponsorship for an export license.
About the job
Deploys and scales machine-learning models and engineering surrogates in customer production environments, translating engineering challenges and R&D outputs into reliable tools and products.
What you'll do
- Lead architecture and delivery of ML systems, pipelines, and APIs; define project plans, success metrics, and quality standards.
- Work with customers and cross-functional teams to deploy models, communicate trade-offs, and influence technical and product direction.
- Mentor engineers and data scientists, and scope customer projects and workstreams.
What they ask for
- At least 3 years of industry experience after a Master’s or PhD in a commercial, non-research environment.
- Experience shipping ML systems end-to-end and at scale, including reliable, scalable data pipelines.
- Ability to work with 3D point-cloud and mesh data for geometry-aware modelling.
- Ability to work directly with customers and lead technical initiatives.
Pay
$200,000 - $250,000 USD base salary
Tools
Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow
AI focus
Deploys deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization, and control models as engineering surrogates in customer production environments.
Model-written summary · the original posting is authoritative