Voyager Technologies Logo

Voyager Technologies

Machine Learning Engineer - Mid-Level

Reposted 2 Days Ago
Be an Early Applicant
In-Office
El Segundo, CA, USA
160K-210K Annually
Senior level
In-Office
El Segundo, CA, USA
160K-210K Annually
Senior level
The Machine Learning Engineer will develop advanced Deep Learning technologies for Computer Vision and SAR, focusing on object detection and model generalization. Responsibilities include researching algorithms, applying signal pre-processing, and optimizing model performance.
The summary above was generated by AI

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 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

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.  

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. 

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

Similar Jobs

3 Days Ago
In-Office
Los Angeles, CA, USA
92K-145K Annually
Mid level
92K-145K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Consulting
Design, build, and deploy ML models and end-to-end pipelines; implement MLOps practices; deploy containers to cloud production; monitor model performance and drift; collaborate with engineers and product teams; optimize latency and throughput; write production-quality code and mentor junior engineers.
Top Skills: AirflowAws SagemakerAzure MlCi/CdDockerGcp Vertex AiKubeflowKubernetesMicroservicesMlflowPythonPyTorchRest ApisScikit-LearnSQLTensorFlow
17 Days Ago
In-Office
110K-200K Annually
Senior level
110K-200K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Software
Develop and deploy lightweight machine learning models for edge AI, working on hardware integration and optimization techniques while mentoring junior engineers.
Top Skills: C/C++CoremlJaxNcnnOnnxOptimumPythonPyTorchTensorFlowTensorrtTflite/Litert
40 Minutes Ago
Hybrid
Ocean Park, Santa Monica, CA, USA
195K-343K Annually
Expert/Leader
195K-343K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead and mentor a mobile client media platform engineering team responsible for end-to-end media infrastructure (recording, transcoding, upload, storage, CDN, streaming, playback). Set strategy and roadmap, collaborate cross-functionally, evaluate technical tradeoffs, hire and retain talent, and use AI tools and high-velocity workflows to deliver scalable, secure, production-ready systems.
Top Skills: Ai ToolsCdnDistributed SystemsMedia ManagementReplicationStorageStreamingTranscodingVideo PlaybackVideo PlayerWeb Development

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account