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Machine Learning Engineer - Mid-Level

1 month, 1 week ago
United States
Full-time
Mid Level
Machine Learning Engineer
Data Science and Analytics
Computer Vision Deep Learning Machine Learning MATLAB Python
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Voyager

Voyager

Voyager specializes in providing innovative defense and space technology solutions, focusing on advanced systems and infrastructure that support mission-critical operations from ground to space.

Life Sciences Tools & Services
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Description

  • Research, design, prototype, and implement advanced deep neural network architectures and other machine learning models.
  • Apply deep learning algorithms to train neural networks for object detection and classification.
  • Develop domain-aware pre-processing algorithms and other methods to improve model generalization.
  • Apply signal pre-processing techniques to SAR data.
  • Create physics simulations and methods to reduce bias between simulated and real-world data.
  • Develop appropriate objective functions and performance assessment plans.
  • Present work at meetings and conferences.
  • Develop and deliver production-quality code, primarily in Python.

Requirements

  • Must be able to obtain and maintain a U.S. government clearance.
  • Must be a U.S. Person: a U.S. citizen, lawful permanent resident, or protected individual under U.S. export regulations.
  • 5–15 years of applicable experience.
  • Bachelor's degree in engineering or a related field.
  • Master's degree preferred.
  • Strong background in machine learning, preferably deep neural networks.
  • Familiarity with radar sensing phenomenology.
  • Ability to program in multiple languages, including Python, MATLAB, and C/C++.
  • Experience with open source frameworks is a strong plus.
  • Comfort working in a flexible small business environment.

Benefits

  • California base salary range of $160,000–$210,000 USD.
  • Flexible Time Off (FTO).
  • Comprehensive medical, dental, and vision coverage for employees and their families, with many employee benefits paid at 100%.
  • 401(k) retirement plan with a 50% company match on contributions up to 8%.
  • Flexible, affordable gym memberships with 12,700+ nationwide options and free on-demand workout videos.
  • Company wellness programs supporting physical and mental well-being.
  • Additional voluntary benefits and employee support resources.

Interested in this position?

Apply directly on the company website

Apply Now

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