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Machine Learning Engineer - Associate
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
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)