Machine Learning Signal Processing Engineer

Do you want to join a high performing team that values integrity, innovation, and collaboration with a company whose mission is to make the world safer, healthier, and more efficient through information technology, engineering and science? Are you interested making a difference by applying your machine learning and signal processing skills toward state-of-the-art research and development problems? Leidos currently has an exciting opening for a machine learning signal processing engineer to work in our Ann Arbor, Michigan or Beavercreek, Ohio office.

As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (SAR/RF, acoustic, EO/ IR, and LIDAR) applications. Current projects include, but are not limited to, detection, tracking, data fusion, and classification. We develop a variety of combat identification (CID) algorithms and specialize in technologies to train these systems on synthetic data. We are looking for a qualified candidate to bring technical excellence, leadership, entrepreneurship, and creativity to our programs. You will interact with customers, grow to lead technical projects areas, and have the opportunity to pursue growth in new technologies. This position requires about three quarters of the job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.

The opportunity to transform image and signal data into actionable information awaits!

Primary Responsibilities:

• Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, and signature modeling.

• Collaborating with our customers to address challenging mission requirements by researching and developing new capabilities as well as making improvements to existing systems.

• Rapidly and iteratively implement new algorithms to address these challenges.

• Develop Automatic Target Recognition (ATR) algorithms using Python, MATLAB, C++, and other languages for real world applications. Leverage state-of-the-art AI/ML tools and methods to improve performance of ATR systems

• Provide technical leadership for tasks and programs

Basic Qualifications:

• Bachelor’s degree with 2+ years or Master's degree with experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics.

• Strong programming ability in Python and/or C/C++ for Linux enviroments

• Knowledge of code configuration control

• Familiarity with common machine and deep learning packages such as Scikit-Learn, PyTorch, etc.

• Ability to effectively communicate technical solutions to coworkers, teammates, and customers.

• Active SECRET clearance or higher, with an ability to obtain a TS/SCI clearance

• US Citizenship Required

Preferred Qualifications:

• Experience with Automatic Target Recognition algorithm development

• Experience working with monostatic or bi-static Synthetic Aperture Radar (SAR) and/or Synthetic Aperture Lidar (SAL) data and sensor systems

• Experience developing computer vision applications

• Experience with multi-sensor data fusion

AWTLINC

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:

November 17, 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 $67,600.00 - $122,200.00

The Leidos pay range for this job level is a general guideline onlyand 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.