Senior Machine Learning Research Scientist

Description

The 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 development

What'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 domains

Basic 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 12+ years of prior relevant experience, Masters with 10+ years of prior relevant experience or Doctoral degree
• 10+ years of practical experience in applying ML to solve complex signal processing problems both as an individual performer and as part of a team
• 8+ years of practical experience applying state-of-the-art ML techniques to signal processing and remote sensing applications
• 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 Matlab

Preferred Qualifications

• Master's Degree with and 10+ years of prior relevant experience or PhD with 8+ years of prior relevant experience
• 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 solutions

LInC

Original Posting Date : 2024-06-13While 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 $122,200.00 - $220,900.00

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.

About Leidos Leidos 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 Benefits Pay 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 Data Beware 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 person a l 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 Diversity All 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.