Join Leidos: Machine Learning Signal Processing Engineer in Ann Arbor, MI

Leidos seeks a talented Machine Learning Signal Processing Engineer to join our high-performing team in Ann Arbor, Michigan. If you thrive on integrity, innovation, and collaboration, contribute to making the world safer, healthier, and more efficient through cutting-edge IT, engineering, and science. Apply your expertise in machine learning and signal processing to state-of-the-art R&D in remote sensing applications including SAR/RF, acoustic, EO/IR, and LIDAR.

Key Responsibilities

• Work on research, design, and development of sensor exploitation systems: signal processing, automatic target recognition (ATR), and signature modeling.
• Collaborate with customers to tackle mission-critical challenges, developing new capabilities and enhancing existing systems.
• Rapidly prototype and iterate algorithms for detection, tracking, data fusion, and classification.
• Build ATR algorithms using Python, MATLAB, C++, leveraging AI/ML tools like PyTorch and Scikit-Learn.
• Lead technical tasks, programs, and interact with customers while pursuing growth in emerging technologies.

Basic Qualifications

• Bachelor’s (2+ years experience) or Master’s in Computer Science, Electrical Engineering, Physics, or Applied Mathematics.
• Proficient in Python/C++ for Linux; knowledge of code configuration control.
• Familiarity with ML frameworks (Scikit-Learn, PyTorch).
• Strong communication skills; Active SECRET clearance (TS/SCI eligible); US Citizenship.

Preferred Qualifications

• ATR algorithm development experience.
• Work with SAR/SAL data and sensor systems.
• Computer vision and multi-sensor data fusion expertise.

This role requires ~75% onsite work for collaboration on sensitive projects, with flexible hours and some remote flexibility. Transform data into actionable intelligence at Leidos—outthink, outbuild, and outpace the status quo. Pay Range: $69,550 - $125,725 USD/year.