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Active2mo ago

Machine Learning Engineer - Mid-Level

Voyager Technologies, Inc.·📍 El Segundo, California, United States

Employment

Full-Time

Work mode

On-site

Experience

5–15 years

Salary

$160K – $210K/yr

Pay vs market · Bottom quarter

This job's pay ($185,000 a year at the midpoint) is higher than about 25% of 270 salary-listed Machine Learning Engineer jobs in United States in the last 12 months; their median is $225,450.

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Role overview

Job description

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. ____________________________________________________________________________________ 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 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 (requires US citizenship) • 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 good faith base salary range for this role is $160,000.00 to $210,000.00 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future. Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. Minority/Female/Disabled/Veteran The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. California pay range $160,000 — $210,000 USD

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About this listing

  • Source: Voyager Technologies, Inc.'s official careers site · still listed there on 9 Nov 2026
  • Posted 17 Aug 2026

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Role market pulse

How Machine Learning Engineer demand looks in United States

72/100 · rising

Live jobs

355

Posted 30d

252

30d movement

+375.5%

Remote share

31.3%

Salary listed

85.6%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Must be able to obtain and maintain a US government clearance (requires US citizenship) • 5-15 years applicable experience • Bachelor's degree in engineering or related field Preferred

Department · Software Engineering

Hiring company

Voyager Technologies, Inc.

View the company profile, current openings and hiring details.

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