Machine Learning Engineer – ON-SITE

Job Overview

⚡Role: Machine Learning Engineer Industry: Defense technology Location: Remote US Salary: $180-250K
My client is an early-stage, venture-backed defense technology company at the intersection of machine learning, autonomy, and next-generation mission systems. Backed by leading defense-focused investors and with early traction from U.S. government customers, we’re building cutting-edge AI systems to give the U.S. and its allies an edge in modern warfare.
Responsibilities:
Build and optimize ML models for perception, planning, prediction, and control.Work with real-world sensor data (e.g., LiDAR, radar, EO/IR imagery).Develop and maintain data processing pipelines to support training and evaluation.Fine-tune and deploy foundation models (e.g., vision transformers, LLMs for ISR tasks).Collaborate with autonomy, robotics, and systems teams to integrate ML into live environments.Contribute to on-device/edge ML solutions with performance and latency constraints.Write clean, production-ready code and participate in design and code reviews.
Requirements:
B.S./M.S./Ph.D. in CS, EE, Applied Math, or related field.2–6 years experience in applied ML, deep learning, or computer vision.Strong Python and experience with PyTorch or TensorFlow.Experience with multi-modal data (video, LiDAR, audio, etc.) or synthetic data generation.Understanding of model deployment and performance tradeoffs (edge/cloud/onboard).U.S. citizenship required due to government contract eligibility

⚡ Compensation and Benefits:
A competitive salary aligned with experience, along with a comprehensive benefits package including health insurance, 401(k), PTO, and opportunities for growth in one of the most innovative sectors in defense. Performance-based incentives and professional development support included.
 Interested? Click on the ‘Easy Apply’ button or reach out directly to learn more!