Senior Machine Learning Engineer

PhysicsX, New York

What you will do

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. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.

PhysicsX, New York

$200K–$250K

a year

This base pay is near the median for senior ML and AI engineering jobs in New York.

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

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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. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.