Senior AI/ML Engineer (SWE-3)

Leidos has a new and exciting opportunity for a Senior AI/ML Engineer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). 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. Join us and make a difference in National Security!

Job Summary:

Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. 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. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click here to learn more about how this program "Delivers Mission Success!"

Seeking a motivated AI/ML prototype engineer to support the exciting Corporate Discovery Services mission. Developers will work closely with mission stakeholders to capture requirements and create innovative prototypes and deploy solutions to evaluate and tune machine learning models' ability to integrate, reference, make inferences and consolidate data into a holistic view.

Job Responsibilities/Qualifications:

• Mission Focus: Collaborate closely with customers to enable acceleration to evaluate and tune machine learning models' ability to integrate, reference, make inferences and consolidate data into a holistic view.
• Technical Proficiency: Creatively write and evolve prototype techniques leveraging diverse architecture and methods. Provide database administration, dataflow engineering, data wrangling, and model development.
• Qualifications: Bachelor's degree in computer science or related technical field plus a minimum of eight (8) plus years of relevant experience or equivalent. Proficiency with, but not limited to, Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks. Ability to provide database administration for relational databases and TensorFlow.
• Security Clearance Requirement: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
• Desirable Skills: Proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as but not limited to, retrieval augmented generation (RAG) and model context protocol (MCP).

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today!

Careers.leidos.com

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If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:
December 9, 2025

For U.S. 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.

Pay Range:
Pay Range $107,900.00 - $195,050.00

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.