Machine Learning Engineer
Voyager Technologies, Inc.2 days ago
El Segundo, CA, USAEntry Level / Mid Level / Senior / Staff+
Base Salary
$120k - $280k/yr
Responsibilities
- Research, conceive, design, prototype, and implement deep neural network architectures and other machine learning models.
- Train neural networks for object detection and classification using deep learning algorithms.
- Develop domain-aware preprocessing algorithms and methods to improve model generalization.
- Apply signal preprocessing techniques to synthetic aperture radar data.
- Create physics simulations and methods to account for bias between simulated and real-world data.
- Develop objective functions and performance assessment plans.
- Develop and deliver production-quality code, mainly in Python.
- At Machine Learning Engineer II and above, independently take ML problems from requirements through implementation, including deployment, monitoring, feature engineering, and experimentation.
- At senior and higher levels, own complex ML systems, make architecture decisions, mentor engineers, and collaborate with product, data, and platform teams.
- At staff and senior staff levels, provide cross-team technical leadership and define ML architecture, technical direction, engineering standards, and strategy.
- Present work at meetings and conferences.
Requirements
- Machine Learning Engineer I requires a bachelor’s degree in engineering or a related field.
- Experience requirements range from 0–2 years for Machine Learning Engineer I to 12–15+ years for Senior Staff Machine Learning Engineer, with progressively broader technical ownership and leadership.
- Higher levels require experience independently implementing and deploying ML solutions, monitoring models, feature engineering, experimentation, owning complex ML systems, making architecture decisions, and mentoring engineers.
- Staff and Senior Staff levels require technical leadership across teams, architecture and technical direction, influence on engineering standards and ML strategy, and organization-wide technical strategy at the highest level.
- Strong background in machine learning, preferably deep neural networks.
- Preferred qualifications include a master’s degree or PhD, radar sensing phenomenology familiarity, and experience connecting physics-based signal processing with machine learning, computer vision, or automated exploitation.
- Ability to program in multiple languages, including Python, Matlab, and C/C++.
- Expertise in target detection and recognition, geolocation, or multimodal fusion is preferred.
- Ability to obtain and maintain a U.S. government security clearance.
- Applicants must be a U.S. Person and eligible to obtain required export authorizations under applicable U.S. export regulations.
Benefits
- The role is based in El Segundo, California.
- Flexible Time Off supports time away and work-life balance.
- Medical, dental, and vision coverage is available for employees and families, with significant company premium contributions and many benefits paid at 100% for employees.
- Flexible gym memberships offer access to 12,700+ nationwide options, with no long-term contracts and free on-demand workout videos before enrollment.
- 401(k) plan includes a 50% company match on contributions up to 8%.
- Company wellness programs support physical and mental well-being.
- Additional voluntary benefits and employee support resources are available.
- Employees work alongside a highly talented team in an innovative, mission-driven environment.
Categories
About Voyager Technologies, Inc.
Voyager Technologies, Inc. builds defense and space systems for government, national security, and commercial space customers, spanning satellite communications, sensing, and mission hardware/software. Headquartered in Denver and founded in 2019, the public company supports civil, commercial, and government missions from ground to space. Its work includes manufacturing and fabrication in Colorado—such as at Voyager Energetics—supporting mission-critical production and facility build-outs.