Machine Learning Research Scientist, Leidos

Responsibilities:

The Research Scientist will serve in the role of principal investigator on contract R&D and internal R&D programs, engaging R&D customers and transition partners to develop new business opportunities and leading teams of researchers and engineers in the development, adaptation, and extension of innovative ML-based approaches and solutions across a range of technical areas and application domains, for diverse and often disparate types of data and complexity, and for projects that are inherently both fundamental and applied in nature.

Requirements & Skills:

• M.S. degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. (Ph.D. is preferred)
• At least 10 years of industrial/academic experience advancing state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, and computational linguistics.
• Proven track record in proposing, winning, and executing work with customers such as DARPA/IARPA.
• At least 5 years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, etc.
• Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities.
• Understanding of transformers and foundation models
• Python proficiency
• Self-starter with high intellectual curiosity
• Great communication skills, able to explain language model results to a non-technical audience
• Proficient in data exploration techniques and tools
• Must be a U.S. citizen
• Ability to obtain a DoD Secret clearance with potential eligibility for Top Secret.
• Ph.D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
• Track record of extending ML and AI tools and algorithms for new challenges
• Experience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges
• Ability to work in a fast-paced environment
• Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently
• Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities.
• Practical understanding of generative models
• Experience programming machine learning algorithms for GPUs
• Understanding of Convolutional Neural Nets
• Experience adapting large language model technologies
• Discernment of when and how to use machine learning regulation
• Experience adapting ML algorithms and tools with operational workflows for customers in the US government