Machine Learning Signal Processing Engineer
Company: Leidos
Location: Ann Arbor
Posted on: April 1, 2026
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Job Description:
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 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 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: January 27, 2026
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 $69,550.00 - $125,725.00 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.
Keywords: Leidos, Portage , Machine Learning Signal Processing Engineer, Engineering , Ann Arbor, Michigan