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Machine Learning Engineer - Mid-Level
Summary by AIEngineer.careers
Machine Learning Engineer - Mid-Level is a Machine Learning Engineer role (full-time). with Voyager Technologies. in EL SEGUNDO, US. Compensation shown: $160K–$210K. Imported listing (source: jobtarget.com). Apply on the employer's site (jobtarget.com).
Imported listing (source: jobtarget.com) · Apply on jobtarget.com
EL SEGUNDO · US
$160K–$210K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobtarget.com
Voyager Technologies is seeking a Mid-Level Machine Learning Engineer to develop deep learning technologies for Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. The role involves designing neural network architectures, applying signal processing techniques, and delivering production-quality code for national security applications. Candidates must be eligible for US government clearance.
Responsibilities
- Research and implement advanced Deep Neural Network Architectures for object detection and classification
- Develop domain-aware pre-processing algorithms to increase model generalization
- Apply signal pre-processing techniques on SAR data
- Create physics simulations to account for bias between simulated and real-world data
- Develop objective functions and performance assessment plans
- Produce production-quality code primarily in Python
Requirements
- 5-15 years of applicable experience in Machine Learning
- Bachelor's degree in engineering or related field
- Must be able to obtain and maintain a US government clearance (US citizenship required)
- Strong background in Machine Learning, preferably Deep Neural Networks
Voyager Technologies
Denver · US · 745+ employees
Voyager Technologies is a defense, national security, and space technology company that delivers mission-critical solutions for civil, commercial, and government missions. They operate at the convergence of national security, space infrastructure, and advanced capability development, aiming to protect critical assets and extend humanity's presence in space.
