FR - Machine Learning Engineer
Core
Building and optimizing machine learning models for video classification, detection, tracking, pattern recognition, anomaly detection, radar tracking, and radio frequency analysis to enhance NiDAR software for safety and security applications.
Role type
Machine Learning Engineer
Builds
NiDAR software modules for video, radar, and RF analysis
Domain
Defense/Safety & Security, Computer Vision, Signal Processing
Deliverable
production ML models
Required skills
Python, TensorFlow, Keras, PyTorch, Linux, Neural Networks, Bayes/Markov models, Decision Trees, Reinforcement Learning, Gaussian models, Data validation, Algorithm tuning, FPGA programming, Edge computing (Jetson), Server-grade CPU optimization
Preferred skills
Masters or doctorate in science or engineering
Technologies
TensorFlow, Keras, PyTorch, Linux, Nvidia Jetson, FPGA, Intel CPUs
Responsibilities
Collect and categorize data from public sources and customer bases; validate and transform training data; build tools to filter and validate data and training results; test performance and compatibility of new hardware including Nvidia Jetson, FPGA, and Intel CPUs; test, improve, and tune existing algorithms; convert existing solutions and training data to different frameworks
Seniority
Mid-level to Senior, hands-on IC
