Role OverviewOwn the classical side of the computer vision stack, partnering with research teams to turn deep model predictions into clean, smooth, correctly calibrated 3D data.
What You Will Do
Own multi-view geometry, design and tune temporal filters, run inverse kinematics, build QA checks and metrics, and build visualizers and dashboards.
Why It Might Be a Fit
5+ years of professional software engineering and computer vision experience, strong production Python skills, and a data-quality mindset with noisy real-world data.
Requirements
- 5+ years of professional software engineering and computer vision experience
- Strong, coding-heavy production Python (C++ a plus)
- Solid multi-view geometry: triangulation, PnP, calibration, reprojection, coordinate transforms
- Temporal filtering and signal processing, with a feel for smoothness versus fidelity
- Inverse kinematics and rigid-body or bone-length constraints on articulated structures
- Enough ML to work with pose and mesh regressors and their failure modes
- A data-quality mindset with noisy real-world data
]]>