Machine Learning Engineer

Integer

$110K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Must be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance.
  • Bachelor's degree in a relevant field and 7+ years of related experience, or a Master's degree and 5+ years of experience.
  • Strong proficiency in programming languages like C++ and Python, and experience with ML frameworks such as PyTorch or TensorFlow.
  • Experienced in taking ML models from prototype to integrated software.
  • Solid foundation in linear algebra, probability, statistics, and signal processing principles.
  • Experience working with real sensor data, understanding real-world signal challenges.
  • Excellent written and oral communication skills for effective collaboration.

Responsibilities

  • Design, train, and evaluate ML models for detection, classification, and signal analysis of maritime sensor data.
  • Develop methods to process and fuse heterogeneous sensor streams for robust maritime perception.
  • Optimize and deploy models for real-time inference on edge computing devices.
  • Integrate ML components into production software, ensuring reliable communication with sensors and systems.
  • Build pipelines and tooling for data ingestion and augmentation for training datasets.
  • Stay updated on AI/ML advancements to enhance perception and autonomy capabilities.
  • Collaborate with multidisciplinary teams and contribute to technical excellence and best practices.

Benefits

  • Integer covers 100% of health insurance premiums for employees and dependents, saving substantial costs.
  • Relocation assistance available for new hires.
  • Competitive base salaries above industry averages.
  • Year-end performance-based bonuses to reward contributions.
  • 401(k) plan with immediate company matching contributions.
  • Generous paid vacation, sick leave, and holidays.
Full Job Description
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 and other maritime sensors.
  • Sensor Data & Fusion: Develop methods to process, fuse, and exploit heterogeneous sensor streams (sonar, magnetics, IMU, etc.) to produce robust perception in challenging maritime conditions.
  • Edge Deployment: Optimize and 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, and identify opportunities to extend perception and 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 and maintain a U.S. DoD Secret Clearance.
  • Bachelor's degree in relevant fields (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field) and 7+ years of experience relevant to primary responsibilities outlined above.

OR

  • Master's degree in relevant field (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field) and 5+ years of experience relevant to primary responsibilities outlined above.
  • Strong proficiency in modern programming languages (e.g., C++, Python) and common ML frameworks (e.g., PyTorch or TensorFlow), with solid software engineering fundamentals and experience using Git
  • Demonstrated experience taking ML models from prototype to integrated software
  • Solid foundation in the mathematics underpinning 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 relevant field (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field)
  • Experience developing robotic or autonomous systems, using data from various perception sensor types (sonar, magnetic, cameras, lidar, etc.) to enhance a robotic platform's perception of 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.

Company Benefits

  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning, Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employees thousands of dollars annually.
  • Relocation assistance available.
  • Base salaries which exceed local & national industry averages.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays


Company Perks

  • Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well.
  • Waterfront office view!

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