About this role
Lead the deployment of ML models and engineering surrogates into customer production environments across various advanced industries. You will design scalable ML systems, mentor engineers, and collaborate directly with customers to translate R&D outputs into practical products.
Requires at least 5 years of commercial industry experience post-Masters or PhD in a non-research environment. Candidates must be proficient in Python and PyTorch with experience handling 3D geometry-aware modeling and end-to-end ML system deployment.
What they're looking for
Machine LearningPythonPyTorchPandasFastAPIScipyKubeflow3D Point-Cloud Data
Frequently asked questions
What does a Principal Machine Learning Engineer at PhysicsX do?
Lead the deployment of ML models and engineering surrogates into customer production environments across various advanced industries. You will design scalable ML systems, mentor engineers, and collaborate directly with customers to translate R&D outputs into practical products. Requires at least 5 y…
What skills does this Principal Machine Learning Engineer role need?
Key skills for this role include Machine Learning, Python, PyTorch, Pandas, FastAPI, Scipy.
How much does a Principal Machine Learning Engineer at PhysicsX pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Principal Machine Learning Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Principal Machine Learning Engineer role?
You can apply directly on PhysicsX's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.