Machine learning research scientist - security clearance required | Arlington, VA

office. As a Machine Learning Research Scientist, you will apply your skills to a variety of exciting programs and datasets, primarily focused on remote sensing applications (acoustic, RF, and other). You will bring research experience, entrepreneurship, and creativity to our programs.

You will interact with customers, lead technical projects, and spearhead growth in new areas. We are looking for someone to join our team onsite. Primary Responsibilities Work on and lead the design, development and deployment of ML algorithms for remote sensing applications Keeping up with the latest ML research through literature review and by attending conferences Create new project ideas and brief those

ideas internally to Leidos and externally to customers What's in it for you? A challenging, fast-paced work environment applying state-of-the-art ML techniques to solve real world problems using unique data sets The ability to contribute to critical elements across entire program life cycles (proposal writing, technical planning/execution, creating and presenting technical reports and briefings) Professional and technical development opportunities through mentoring programs and full tuition coverage for masters and Ph D programs A research-oriented environment with a small business feel created by an accessible organizational structure Opportunities for collaboration across a broad range of technical

domains Basic Qualifications BS degree in a scientific field such as computer science, math, data science, physics, or engineering with 8 – 12 years of prior relevant experience, Masters with 6 – 10 years of prior relevant experience or Doctoral degree.

1-5 years of practical experience in applying ML to solve complex signal processing problems both as an individual performer and as part of a team Must be a U. S. Citizen Must have an active secret security clearance Experience working and collaborating on multi-disciplinary teams, including leading technical teams and mentoring less experienced staff Proficiency in signal processing algorithms, including time-frequency analysis and digital signal filtering Experience using Python, Tensor Flow, Py Torch, and Matlab Preferred Qualifications Master’s Degree with and 6+ years of prior relevant experience or Ph D with prior relevant experience 5+ years of practical experience applying state-of-the-art ML techniques to signal processing and remote sensing applications Track record of research in ML technologies with high impact publications Strong fundamentals in mathematics, problem solving and algorithm design Understands how to translate customer requirements and mission needs into a research program producing end-to-end solutions and results LIn C Pay Range: Pay Range $101,400.00 - $183,300.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Original Posting Date: 12/11/2023 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

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