Senior Machine Learning Research Scientist, Leidos Holdings, Arlington, VA
Leidos Holdings -
Arlington, VA,
US
Senior Machine Learning Research Scientist
Date Posted: 2024-05-10
Job description
DescriptionThe Leidos Innovations Center (LInC) operates at the leading edge of technology by designing, demonstrating, and deploying Machine Learning (ML) approaches to solve complex remote sensing problems for our Department of Defense customers. We are currently seeking a Senior Machine Learning Research Scientist to work in our Arlington, VA office.As a Senior Machine Learning Research Scientist, you will apply your technical skills to a variety of exciting programs and datasets, primarily focused on remote sensing applications (acoustic, RF, and other). You will interact with customers, lead technical projects, and spearhead growth in new areas. We are looking for someone to join our team for onsite work.Primary Responsibilities* Team lead or individual contributor performing hands-on design, development and deployment of machine learning for remote sensing applications* Keeping up with the latest ML research to integrate cutting edge technology* Creating new project ideas and technical briefs to support business developmentWhat's in it for you?* A challenging, fast-paced work environment applying state-of-the-art ML techniques to solve real world problems with 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 PhD programs* A research-oriented environment with opportunities for collaboration across a broad range of technical domainsBasic Qualifications* Must be a U.S. citizen with an Active Secret security clearance* 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* 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* Experience working and collaborating on multi-disciplinary teams, including leading technical teams and mentoring junior staff* Understanding of basic signal processing algorithms, including time-frequency analysis and digital signal filtering* Experience using Python, TensorFlow, PyTorch, and MatlabPreferred Qualifications* Master's Degree with and 6+ years of prior relevant experience or PhD 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* Understanding of how to translate customer requirements and mission needs into a research program producing end-to-end solutionsLInCOriginal Posting Date:2024-04-22While 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.Pay Range:Pay Range $101,400.00 - $183,300.00The 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.About LeidosLeidos is a Fortune 500 innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information, visit www.Leidos.com.Pay and BenefitsPay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.Securing Your DataBeware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.Commitment to DiversityAll qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.