Description
Job Description:
The Leidos Innovations Center operates at the leading edge of technology by designing, demonstrating, and deploying solutions to solve complex remote sensing problems for our Department of Defense customers. We are currently seeking a Machine Learning Software Engineer in our Arlington, VA office to join a leading-edge research and engineering group.
As a Machine Learning Software Engineer, you will apply your software and data science skills in remote sensing applications (acoustic, RF, and other). You will bring new insights into data, develop novel technical solutions and design, create, test and deliver software products. You will interact with customers, lead technical project teams, and improve the software quality developed by our organization. We are looking for someone to join our team onsite, although we offer flexibility to work from home part-time or have flexible in-office hours.
What's in it for you?
- A challenging, fast-paced work environment to solve real world problems with unique data
- Flexible work schedule to maintain work life balance
- Opportunities to enhance your skills in Software Engineering, Software Development, System Administration, Data Science, Machine Learning and Signal Processing
- Opportunities 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 a small business feel created by an accessible organizational structure
Primary Responsibilities
- Work with subject matter experts to design, develop, and deploy software solutions for remote sensing-based machine learning
- Use your programming and database skills to collect, process and analyze data sets
- Responsible for the specification, design, development, implementation, unit testing, integration testing, writing of documentation and analysis of technical products and systems
- Collaborate with multidisciplinary team members (Machine Learning Researchers, Data Scientists, Acousticians, Physicists, Signal Processing Engineers, Electrical Engineers, Systems Engineers, and more) to transition research and development into mature, robust solutions to complex problems.
Basic Qualifications
- BS degree in a scientific field such as computer science, math, data science, physics, or engineering with 8+ years of prior relevant experience, Masters with 6+ years of prior relevant experience or Doctoral degree
- Possess an active U.S. Government Secret security clearance or higher
- Strong Python coding skills and system administration experience for Linux environments
- Experience working and collaborating with multi-disciplinary teams, including leading technical teams and mentoring less experienced software engineers
- Experience using SSH, Git, and MySQL
Preferred Qualifications
- Strong fundamentals in mathematics, problem solving, algorithm design and data structures
- Proficiency in signal processing algorithms, including time-frequency analysis and digital signal filtering
- Experience using AWS EC2, AWS S3, MATLAB, C/C++, Java, HDF5 and Qt
- Experience with machine learning frameworks and libraries (Tensorflow, Keras, Pytorch)
LInC
Pay Range:
Pay Range $94,250.00 - $145,000.00 - $195,750.00The 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 Leidos
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 46,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022. 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 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 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.