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Senior Applied Research Engineer, 3D Computer Vision
Skills
Computer ScienceAmazon Web ServicesGeomaticsHealthcareMeshProperty Management SystemsSpectrum
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's Master's or PhD in Computer Science Engineering or related field with 5+ years of experience in 3D Computer Vision or 3D Machine Learning or a PhD in a closely related discipline
- Hands-on experience with gaussian splatting and or foundation 3D reconstruction models such as MASt3R VGGT or comparable
- Demonstrable track record of building and shipping 3D reconstruction systems in production startup or applied industry settings
- Deep experience across at least three of feature detection and matching SfM MVS monocular depth estimation mesh reconstruction or SLAM
- Strong C++ proficiency and fluency in modern ML frameworks and training stacks
- Ability to work effectively as a remote engineer with substantial overlap with Pacific Time
- Strong written and verbal communication skills for technically dense investigations
- Real track record with agentic development and openness to AI-first workflows
- Experience running and monitoring many concurrent ML experiments in cloud environments
- Comfort with cloud training and inference and containerization
- Experience with geospatial systems or aerial imagery pipelines
Nice to have
- Startup mindset
- High ownership
- Collaborative
- Research driven
- Production focused
- AI curious
Day to day
- Design, train, evaluate, and ship advanced 3D reconstruction systems for production reality capture pipelines
- Drive integration of gaussian splatting and foundation 3D models into a large-scale photogrammetry stack
- Own difficult technical investigations from triage through rollout while optimizing for speed accuracy and efficiency
- Use classical computer vision and learned approaches judiciously and contribute to AI-first engineering workflows