Machine Learning Research Scientist

$122,200 - $220,900/Yr

Leidos - Arlington, VA

Full-time - Senior

Remote - Arlington, VA

Professional, Scientific, and Technical Services

About the position

The Leidos Innovations Center is seeking a Machine Learning Research Scientist to lead innovative research and development efforts in machine learning and artificial intelligence. This role involves engaging with customers to develop new business opportunities, leading teams in the adaptation and extension of ML-based solutions, and advancing the state of the art in technology that addresses national security challenges. The position requires a hands-on approach to customizing machine learning algorithms and optimizing their performance across diverse datasets.

Responsibilities

• Serve as principal investigator on contract R&D and internal R&D programs.
• Engage with R&D customers and transition partners to develop new business opportunities.
• Lead teams of researchers and engineers in developing innovative ML-based approaches and solutions.
• Customize and create various machine learning algorithms for multi-domain data.
• Develop expertise in technical domains, automating and preparing features from datasets.
• Modify and optimize various models within technical domains, including NLP and computer vision.

Requirements

• B.S. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related field with 12+ years of experience, M.S. with 10+ years, or Ph.D. with 8+ years (Ph.D. preferred).
• Demonstrable experience in advancing machine learning-based research with verifiable results.
• Proven track record in proposing and executing work with DARPA/IARPA in the last 5 years.
• At least 5 years of hands-on experience with technologies like NumPy, SciPy, TensorFlow, and PyTorch.
• Strong customer relationship skills to identify technical challenges and recommend solutions.
• Understanding of transformers and foundation models.
• Proficiency in Python and model deployment in cloud and on-prem resources.

Nice-to-haves

• Ph.D. in a relevant technical field.
• Experience extending ML and AI tools for new challenges.
• Ability to work in fast-paced environments.
• Excellent communication skills for presenting technical information.
• Experience forming teams from academia and industry for research opportunities.
• Proficiency with agile project execution tools like JIRA.
• Practical understanding of generative models.

Benefits

• Competitive salary based on experience and qualifications.
• Potential for remote work options.
• Opportunities for professional development and training.