Machine Learning Engineer

3 days ago


Laurel, Maryland, United States Johns Hopkins Applied Physics Laboratory (APL) Full time

We are looking for a highly skilled Machine Learning Engineer - Enterprise AI to join our team at APL. As a Machine Learning Engineer, you will be responsible for deploying and managing machine learning models on large-scale enterprise systems.

The ideal candidate will have 3+ years of experience with AI/ML frameworks and libraries such as Tensorflow, PyTorch or MXNet, and 1+ year experience using container-based orchestration (e.g. Kubernetes) and run-time environments (e.g. Docker).

Key responsibilities include working closely with researchers and data scientists to deploy machine learning models, operating and enhancing software and infrastructure for scalable and reliable AI inference, and staying up-to-date with latest advancements in AI inference technologies and best practices.

We offer a comprehensive benefits package, including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development opportunities.

  • $90,000-$330,000 Annually


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