Machine Learning Research Scientist
4 weeks ago
We are seeking a highly skilled Machine Learning Research Scientist to join our team at The Johns Hopkins University Applied Physics Laboratory (APL). As a Machine Learning Research Scientist, you will be responsible for researching, developing, and deploying cutting-edge machine learning technologies to solve complex problems in defense and healthcare.
Key Responsibilities:
- Research and develop new machine learning algorithms and techniques to solve complex problems in defense and healthcare
- Collaborate with a team of researchers and engineers to design, prototype, and deploy machine learning systems
- Develop and maintain machine learning models and algorithms using deep learning frameworks such as PyTorch, Keras, Darknet, or TensorFlow
- Work with a team of researchers and engineers to develop and deploy machine learning-based solutions to real-world problems
- Present research findings and results to sponsors and stakeholders
Qualifications:
- Ph.D. or M.S. in math, statistics, artificial intelligence, machine learning, computer science, or related field
- Experience with deep learning frameworks such as PyTorch, Keras, Darknet, or TensorFlow
- Experience with machine learning algorithms and techniques such as neural networks, decision trees, and clustering
- Strong programming skills in languages such as Python, C++, or Java
- Excellent communication and teamwork skills
Why Work at APL?
APL is a world-class research and development organization that brings together experts from diverse fields to solve complex problems. As a Machine Learning Research Scientist at APL, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of researchers and engineers, and contribute to the development of innovative solutions that make a real difference in the world.
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