Senior Software Engineering - Machine Learning

Description Leidos has a new and exciting opportunity for a Senior Software Engineer in our Intel Sector. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. The software engineer will work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science.

Mission Focus : Work directly with data scientists as well as mission analysts to solve the most demanding strategic problems; perform end-to-end software engineering to prototype, develop, integrate, test, and deploy tools and tradecraft into the customer’s corporate architecture.
Strong experience with Jupyter Notebooks, Java MapReduce, Python PySpark. Strong experience with statistical analysis and machine learning fundamentals, strong experience with customer tools, architecture, data flow, and use of big data. experience with Agile methodologies.
Qualifications : Bachelor's degree plus eleven (11) years of relevant experience or equivalent.
Security Clearance : Must possess an active TS/SCI with Polygraph to be considered for this role.
Experience with software development processes (i.e., requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance) and programming. Experience with Data Science, Machine Learning (ML), Artificial Intelligence (AI) and using Large Language Models (LLM’s).

For us, helping you grow your career is good business. Careers.leidos.At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. Positions: 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.

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.

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. 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. Securing Your Data

Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., com automated system – never from free commercial services (e.g., 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 View email address on apply.j-vers.com you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.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.