Machine Learning Engineer

About the role

Integer Technologies is seeking a Machine Learning Engineer to develop, optimize, and deploy AI/ML methods that power perception and autonomy for maritime platforms. This role sits at the intersection of data science and software engineering: you will design models that turn raw maritime sensor data into reliable detection, classification, and situational awareness, and you will be responsible for integrating those models into production software that runs on the edge. Candidates must be U.S. citizens, eligible for a DoD security clearance, and capable of working across multidisciplinary teams to deliver scalable, maintainable, and mission-ready systems. Experience in maritime autonomy, sensor fusion, and distributed systems is highly desirable

What you'll do

• Model Development: Design, train, and evaluate machine learning and deep learning models for detection, classification, segmentation, tracking, and signal analysis using maritime sensor data, with particular emphasis on sonar andother maritime sensors. 

• Sensor Data & Fusion: Develop methods to process, fuse, and exploit heterogeneous sensor streams (sonar,magnetics, IMU,etc.) to produce robustperceptionin challenging maritime conditions. 

• Edge Deployment:Optimizeand deploy models for real-time inference on size, weight, and power constrained edge compute, applying techniques such as quantization, pruning, distillation, and hardware acceleration (e.g., GPU/CUDA,TensorRT, embedded accelerators). 

• Software Integration: Integrate ML components into production software and autonomy pipelines, ensuring reliable interfaces with sensors, middleware, and downstream systems; write well-tested, maintainable code under version control. 

• Data Pipelines & Tooling: Build pipelines and tooling for data ingestion, labeling, augmentation, and the creation of training and validation datasets that reflect real operational environments. 

• Research & Innovation:Stay current with advances in AI/ML and signal processing, andidentifyopportunities to extendperceptionand autonomy capabilities based on evolving mission requirements 

• Collaboration & Mentorship:Work across multidisciplinary teams and external partners, and contribute to a culture of technical excellence, knowledge sharing, and development best practices 

Qualifications

• Must be a U.S. Citizen with the ability to obtain andmaintaina U.S. DoD Secret Clearance. 

• Bachelor’s degreein relevant fields(e.g.,data science,computer science, computer engineering,electrical engineering, mechanical engineering, or other relatedfield) and7+ years of experience relevant to primary responsibilities outlined above. 

OR

• Master’s degreein relevantfield(e.g.,data science,computer science, computer engineering, electrical engineering, mechanical engineering, or other related field)and5+ years of experience relevant to primary responsibilities outlined above. 

• Strongproficiencyinmodern programming languages (e.g., C++, Python)and common ML frameworks (e.g.,PyTorchor TensorFlow), with solid software engineering fundamentals and experience using Git 

• Demonstrated experience taking ML models from prototype to integrated software 

• Solid foundation inthe mathematicsunderpinning ML, including linear algebra, probability and statistics, and signal processing. 

• Experience working with real sensor data and an understanding of the challenges of noisy, real-world signals. 

• Excellent written and oral communication skills, and the ability to collaborate effectively across disciplines. 

Additional Desired Qualifications

• Ph.D. in relevantfield(e.g.,data science,computer science, computer engineering, electrical engineering, mechanical engineering, orotherrelatedfield) 

• Experience developing robotic or autonomous systems, using data from variousperceptionsensor types (sonar, magnetic, cameras, lidar, etc.) to enhance a robotic platform'sperceptionof its surrounding environmental and potential navigational hazards 

• Experience with unmanned and autonomous systems research involving maritime autonomous systems such as uncrewed surface vessels and uncrewed underwater vessels. 

• Experience with edge processing 

• Understanding of the Navy and Department of Defense’s mission, problem set, and strategy for the integration of autonomous systems.