Senior Applied Research Engineer, 3D Computer Vision
New
USA, overlap substantially with Pacific TimeFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of professional experience
- Required Skills
- Machine LearningPyTorchC++TensorflowComputer Vision
Requirements
- Bachelor's, Master's, or PhD in CS, Engineering, or related field.
- 5+ years professional experience in 3D Computer Vision or 3D Machine Learning.
- Hands-on experience with Gaussian Splatting and/or foundation 3D reconstruction models (MASt3R, VGGT).
- Proven track record of building and shipping 3D reconstruction systems in industry/production.
- Experience in at least three of: feature detection/matching, SfM, MVS, monocular depth estimation, mesh reconstruction, SLAM.
- Strong C++ proficiency.
- Fluency in modern ML frameworks (PyTorch, TensorFlow, etc.).
- Track record with agentic development.
- Ability to work remotely with Pacific Time overlap.
Responsibilities
- Design, train, evaluate, and ship 3D reconstruction systems across our pipeline — gaussian splats, foundation 3D models, SfM, MVS, monocular depth, mesh reconstruction.
- Drive integration of modern reality capture approaches (splatting, foundation models) into our production stack.
- Own technical investigations from initial triage through production rollout and long-tail support.
- Optimize 3D systems for speed, accuracy, and efficiency at production scale.
- Use both classical 3D computer vision and learned approaches as appropriate.
- Stay current with 3D vision research and evaluate techniques against workflows.
- Author agent skills or tooling for the team's shared library.
- Review agent-generated code with the same rigor as human-written code.
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