Staff Deep Learning Engineer, State Estimation

📋 Description

• Develop and evaluate deep learning models for feature detection and matching, visual
• Combine learned visual representations with geometric estimation techniques to improve localization
• Own data preparation and supervision strategies, including dataset curation, annotation
• Select and integrate appropriate deep learning tools while building reproducible training workflows
• Design comprehensive evaluations covering both model-level performance and downstream localization
• Investigate model failures and use controlled experiments to identify and prioritize improvements

🎯 Requirements

• Master’s degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a
• Hands-on experience designing, training, debugging, and evaluating deep learning models using
• Strong understanding of architecture selection, loss-function design, optimization, and data
• Solid foundations in camera models, coordinate transformations, projective geometry, and multi-view
• Practical experience in one or more relevant areas such as vision-based navigation, visual
• Strong Python programming skills and experience developing maintainable, reusable software.

🎁 Benefits

• Annual salary range of $200,000–$300,000, with compensation influenced by experience, skills
• Performance bonus opportunity.
• Equity package for eligible full-time employees.
• Comprehensive employee benefits package for eligible full-time employees.
• Remote work environment within the United States.
• Opportunity to work on advanced deep learning, computer vision, autonomy, and state-estimation