Machine Learning Engineer - Mid-Level

Voyager Technologies, Inc.

$160K — $210K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Must obtain and maintain a US government clearance
  • 5-15 years of applicable experience
  • Bachelor's degree in engineering or related field
  • Master's degree preferred
  • Strong background in Machine Learning, particularly Deep Neural Networks
  • Familiarity with radar sensing phenomenology is a plus
  • Ability to program in Python, Matlab, C/C++.

Responsibilities

  • Research and design advanced Deep Neural Network architectures
  • Apply deep learning algorithms for object detection and classification
  • Develop domain-aware pre-processing algorithms to enhance model generalization
  • Apply signal pre-processing techniques to SAR data
  • Create physics simulations to correlate simulated and real-world data
  • Develop objective functions and performance assessment plans
  • Present findings at meetings and conferences
  • Write and deliver production-quality code mainly in Python.

Benefits

  • Flexible Time Off (FTO) for work-life balance
  • Comprehensive medical, dental, and vision coverage
  • Affordable gym memberships with no long-term contracts
  • 401(k) plan with 50% company match up to 8%
  • Wellness programs for physical and mental health
  • Voluntary benefits and employee support resources
  • Collaborative environment with a talented team in a mission-driven culture.
Full Job Description
Job Summary:

The Company is currently seeking a Machine Learning Engineer who can develop cutting-edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation. You will have considerable responsibility, and your role will have a direct impact on relevant issues facing the United States government customers.

Responsibilities:
• Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant 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 increase model generalization
• Apply signal pre-processing techniques on SAR data
• Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data
• Develop appropriate objective functions and sound performance assessment plans
• Present work at meetings and conferences
• Develop and deliver production-quality code (mainly Python)

Required Qualifications:
• Must be able to obtain and maintain a US government clearance.
• 5-15 years applicable experience
• Bachelor's degree in engineering or related field

Preferred Qualifications:
  • Master's degree
  • Strong background in Machine Learning (preferably Deep Neural Networks)
  • Need to be flexible in a small business environment
  • Familiarity with radar sensing phenomenology
  • Open Source frameworks is a huge plus
  • Ability to program in multiple languages (Python, Matlab, C/C++).

Please click "Apply" to submit your application.

The salary range represents the base salary range for this position. Actual compensation will vary and may be above or below the range based on various factors. Those include but are not limited to location, experience, and performance.

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.
  • Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance
  • Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
  • Flexible, affordable gym memberships with 12,700+ options nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness, and more! No long-term contracts and FREE on-demand workout videos before you enroll
  • 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security
  • Company wellness programs that support physical and mental well-being
  • Additional voluntary benefits and employee support resources
  • The opportunity to work alongside a highly talented team in an innovative, mission-driven environment


California pay range

$160,000-$210,000 USD

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