Senior Machine Learning Engineer
physicsx · New York, United States
- Posted
- 38 days ago
- Last confirmed live
- 2 days ago
What this role involves
PhysicsX is looking for a Senior Machine Learning Engineer to deploy AI-driven simulation models to customer production environments. The role involves close collaboration with customers, including on-site travel, and requires strong technical leadership in building ML systems for engineering applications. Ideal candidates have deep experience in Python, PyTorch, and related tools, and a background in numerical physics or simulation.
Skills this posting asks for
- python
- pytorch
- pandas
- fastapi
- scipy
- kubeflow
- deep learning
- 3d point cloud
- mesh data
- cae/cfd/fem
- time series forecasting
- anomaly detection
- optimization
- control
- ml pipelines
- cloud deployment
- on-prem deployment
Requirements
- 3 years of experience
- Level: senior
- Visa sponsorship: no
From the employer’s posting
About us 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 manufactur…
Read the full description on physicsx’s careers pageApply without filling the form
Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.
Other roles at physicsx
- Forward Deployed DevOps LeadNew York, United States
- Senior Computer Vision Data Scientist New York, United States
- Forward Deployed Software EngineerNew York
- Senior Forward Deployed Software EngineerNew York, United States
- Machine Learning EngineerNew York, United States
- Machine Learning EngineerSan Francisco, CA