Machine Learning Engineer - Mid-Level

Doist; El Segundo (CA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Discretionary annual bonus

Comprehensive health benefits

Retirement savings plan

Job summary

Voyager Technologies is seeking a Machine Learning Engineer to develop cutting-edge Deep Learning solutions for Computer Vision, SAR, and Geospatial Exploitation, with direct impact on U.S. government customers.

You will research and implement advanced ML models, optimize preprocessing, and deliver production-quality Python code in a mission-focused, small-team environment.

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.

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).

Skills

Machine Learning

Deep Neural Networks

Python

Matlab

C/C++

Radar sensing phenomenology

Open Source frameworks

Education

Bachelor's degree in engineering or related field

Master's degree

Tools

Python

Matlab

C/C++

Git

Open Source frameworks

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++)

The good faith base salary range for this role is $160,000.00 to $210,000.00 at the time of this posting.

California pay range $160,000 — $210,000 USD

• 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.

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.