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LeidosLE

ML Software/AI Data Engineer

Leidos is an American defense, aviation, information technology, and biomedical research company that provides scientific, engineering, systems integration, and technical services to government and commercial customers.

Leidos

Employee count: 5000+

Salary: 85k-154k USD

United States only

At Leidos, you'll contribute to AI solutions that serve critical national and global missions—ranging from defense and intelligence to healthcare, energy, and space exploration. Our work emphasizes Trusted Mission AI: systems that are transparent, ethical, resilient, and accountable. You’ll collaborate with multidisciplinary teams to transition AI research into operational environments where accuracy, security, and reliability are non-negotiable. Joining Leidos means applying your expertise to solve some of the most complex and meaningful challenges of our time.

We are looking for a motivated ML Software / AI data engineer who wants to work on challenging problems in a variety of domains – including enterprise IT, health, defense, intelligence, and energy – to get results that apply and go beyond the state of the art for measurably better outcomes. We apply our knowledge, capabilities, and experience to develop and deploy Trusted Mission AI – AI that deserves to be trusted by system owners, end users, and the public – to be accurate, ethical, reliable, and adaptable. We are looking for an individual to work with a team to deliver secure data products for use by AI agents.

Primary Responsibilities.

  • Work with a team of agentic AI scientists, agentic AI scientists, data scientists and data engineers on defining and creating scalable data processing pipelines to generate quality data for use by AI.
  • Develop, operate, and maintain data architectures that support discovery and metadata tagging
  • Design and implement data access controls to produce a data transformation pipeline that discovers, repairs, logs, and deploys quality data plus security policy metadata
  • Analyze data provided to detect anomalies
  • Work with a team to design, build, train, and evaluate machine learning models
  • Communicate results and methods for solutions to internal and external stakeholders.
  • Work within teams of AI/ML researchers and engineers using Agile development processes

Basic Qualifications.

  • Bachelor's degree in Computer Science, Data Science or related field and over 4+ years of relevant experience, or a Masters with 2+ years experience. Additional experience may be considered in lieu of degree.
  • Strong Python programming fundamentals
  • Experience with data repositories and ETL techniques
  • Good understanding of machine learning algorithms, tools and platforms
  • Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas)
  • Experience with tabular data analysis using languages such as SQL, R, and/or Python
  • Experience using generative AI and LLM-based tools
  • Experience with statistical modeling and data analysis
  • Experience applying data quality and data conditioning methods
  • Understanding of transformers and foundation models
  • Self-starter with high intellectual curiosity
  • Great communication skills, able to explain model results to a non-technical audience
  • Proficient in data exploration techniques and tools

Preferred Qualifications.

  • Experience with data visualization libraries such as Plotly, Streamlit, and matplotlib.
  • Experience with building LLM and other Generative AI applications.
  • Willingness to learn new skills and platforms to support data analytics.
  • Ability and willingness to obtain a Secret or Top Secret security clearance

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

Original Posting:

August 29, 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 $85,150.00 - $153,925.00

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 the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 85k-154k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Leidos

Learn more about Leidos and their company culture.

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Leidos' story begins in 1969 when Dr. J. Robert Beyster, a visionary scientist, founded Science Applications Incorporated (SAI) in La Jolla, San Diego, California. With a modest investment and a powerful idea, Dr. Beyster embarked on a journey to apply scientific expertise to solve complex problems. The company's early days were marked by a focus on research and engineering, tackling challenges for various government and commercial clients. One of its initial significant projects involved studying radiation-based cancer therapy for the Los Alamos National Laboratory, which laid the groundwork for Leidos' future health business. SAI soon expanded its reach, opening an office in Albuquerque to support the Air Force Weapons Laboratory's work on electromagnetic phenomena, a precursor to the company's Physical Science Group.

Throughout the 1980s, the company, then known as Science Applications International Corporation (SAIC), strategically shifted its focus towards national security and defense, solidifying its position as a key government services provider. This era set the stage for substantial growth and diversification. The 1990s saw SAIC continue to expand its offerings and international presence, securing its first major global contract with the Kuwaiti Defense Forces. A pivotal moment arrived in 2013 when SAIC underwent a significant transformation, splitting into two independent, publicly traded companies: a new company retaining the SAIC name and the original company, which was rebranded as Leidos (a name derived from 'kaleidoscope'). Leidos, as the legal successor to the original SAIC, inherited its pre-2013 stock price and corporate filing history and established its new headquarters in Reston, Virginia. This strategic move allowed Leidos to sharpen its focus on national security, health, and engineering solutions. Another major milestone occurred in August 2016 when Leidos merged with Lockheed Martin's Information Systems & Global Solutions (IS&GS) business, a landmark transaction that created the defense industry's largest IT services provider and significantly expanded Leidos' capabilities and market share. Today, Leidos stands as a Fortune 500® global science and technology leader, employing approximately 47,000 people worldwide and generating billions in annual revenue, committed to making the world safer, healthier, and more efficient through innovation and technology.

Employee benefits

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Paid sick days

Leidos offers paid sick days.

Health Insurance

Leidos offers health insurance.

Dental Insurance

Leidos offers dental insurance.

Vision Insurance

Leidos offers vision insurance.

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Leidos

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Leidos hiring ML Software/AI Data Engineer • Remote (Work from Home) | Himalayas