- 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
- 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
- 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 Matlab
- 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 solutions
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Senior Machine Learning Research Scientist - Arlington, United States - Leidos
Description
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
What's in it for you?
Basic Qualifications
Preferred Qualifications
LInC
Original Posting Date:
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.
Pay Range:
Pay Range $101, $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.