Machine Learning Research Scientist – Job Order 3327
Bernardsville, NJ 07924
$112,000 to $180,000
US citizenship required
They are more than a research lab; they are an innovation hub. They have an entrepreneurial spirit molding technology of the future. They are involved in cybersecurity, data analytics, advanced networking, wireless and mobility, display technologies, optical and quantum, power grid and IoT security, and electronic warfare. The industries they work in include smart cities and smartphones, intelligent battlefields and autonomous systems, telecommunications, energy, finance, government, life sciences and defense. They have 500 scientists, engineers and analysts on staff, 260+ issued, licensed and pending patents. They have more than 125 Ph.D.’s on staff, 40+ collaborations with universities, research organizations and vendors. Additionally, they have 100+ ongoing customer-funded research and technology programs.
Responsibilities
My client is looking for a motivated Machine Learning Research Scientist with a desire to be at the forefront of developing and fielding novel deep learning algorithms and systems for the Department of Defense. Working with a world-class team of computer scientists, you will be responsible for rapidly identifying, implementing, and testing state-of-the-art deep learning algorithms while adapting techniques to new problem domains. You will propose novel hypotheses and algortihms, set up experiments to validate them, and communicate your findings to peers and customers. You will collaborate with other researchers to integrate different algorithms into a cohesive prototype system.
Who we’re looking for:
· Deep learning: We are looking for staff with a strong interest and track record in deep learning research and development. You’ll work on performing fundamental research and applying methods to practical problems.
· Scientific research: We are looking for people who can understand state-of-the-art methods, propose novel hypotheses that solve real problems, and independently set up and execute experiments to validate/refute those hypotheses.
· Domain knowledge: You should have hands-on experience with one or more of the following domains: computer vision, natural language processing, audio processing, radio frequency processing.
Qualifications
BS 8-10, MS 6-8, PhD 3-5
Degree in Computer Science, Computer Engineering, or related field with a focus on machine learning research.
Strong understanding/experience with one or more ML / deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Working knowledge of linear algebra and optimization
Hands-on experience collecting and/or processing datasets for use in training
US citizenship required.
Eligible/willing to obtain a security clearance.
Additional Desired Skills
Experience specific to Adversarial Machine Learning (AML)
History of advanced Mathematics coursework
Modern development practices and toolsets (Git, subversion, CI/CD toolchains)
Algorithm analysis, data structures, and coding for efficiency and performance.
