Senior AI-ML Engineer

Description

Scientific Systems is looking for a Senior Artificial Intelligence - Machine Learning Engineer with an established background to develop the next generation of advanced perceptual autonomy capabilities for single- and multi-agent uncrewed systems.

This work will be crucial in advancing our mission to create AI / ML-enabled capabilities for our customers' most challenging missions.

In the Multi-sensory Perception Group, you will help shape SSCI’s research strategy for the challenging perception problems in multi-modal sensor fusion, active perception, object pose estimation, semantic segmentation, and scene understanding.

Scientific Systems Company, Inc. ( www.ssci.com) is a leading developer of advanced technologies for navigation, mission planning, and autonomy for the Aerospace and Defense industries.

Founded in 1990 and based in Woburn, MA, Scientific Systems Company Inc. (SSCI) invents disruptive technologies, develops revolutionary solutions, and builds trusted products for our customers’ most challenging missions.

SSCI focuses on creating AI / ML-enabled capabilities to command, control, communicate with, and manage composable collections of intelligent agents, smart sensors, and autonomous platforms across all domains.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.

S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

• Work as part of a team to develop, integrate, and field test advanced technologies and system software in perception, sensor fusion, scene understanding, and cognitive architectures.
• Support integration on physical systems, including uncrewed sea, ground, aerial, and space vehicles.
• Assume technical leadership over algorithm and software R&D efforts.
• Contribute technical materials and help develop new concepts for proposals and white papers, and present materials to stakeholders.
• Remain current on state-of-the-art research in key

Requirements

Required Skills :

• Bachelor’s degree + 6 years of experience in deep computer vision, scene understanding, autonomous robotics, AI / ML, or related fields.
• Experience using one or more sensor modalities (e.g., EO, IR, SAR, LIDAR, etc.)
• Experience with standard tools used for computer vision and AI / ML (e.g., PyTorch, TensorFlow).
• Experience with modern C++ and Python.
• Experience implementing and testing computer vision or autonomy algorithms on real-world systems.
• Prior small team leadership experience

Desired Skills :

• Experience with visual SLAM or visual odometry.
• Experience with real and synthetic dataset capture.
• Experience with MLOps and data governance.
• Familiarity with edge computing devices (e.g., Nvidia Orin).
• Knowledge of Gazebo, AirSim, or Unreal is desirable.
• Familiarity developing with ROS 1 / 2, DDS, CUDA, or similar middleware.
• Familiarity with Docker containerized development.
• Familiarity with collaborative development tools and practices (e.g., Agile development, DevOps, Git, CI / CD).
• Experience with UAV systems is a plus.
• Good oral and written communication skills are a must.

Benefits

Salary is competitive with market rates, with annual bonus awards based on company and individual performance. SSCI benefits package includes 401K, Health / Life / Disability Insurance.