Staff Computer Vision Engineer, HOVER

• Expertise in multi-view geometry, pose estimation, structured reconstruction, and large-scale optimization; deep learning in PyTorch or TensorFlow
• Proven record of shipping CV/ML products at scale (millions of monthly inferences) and owning the full lifecycle from prototype to product
• Product intuition—you’ve partnered with PMs or worn the PM hat yourself, balancing user value, feasibility, and timing
• Influence & communication—able to translate math, code, and constraints into narratives that resonate with executives and customers
• Entrepreneurial bias to action—comfortable with ambiguity, excited to test hypotheses quickly, and relentless about measurable outcomes
• Bachelor’s, Master’s, or PhD in CS, ML, or related field

Desirable

• Computer Vision doesn’t just power Hover’s products—it defines them. As we scale our 3D data platform from millions to billions of surfaces, we need a staff-level technical leader who can translate cutting-edge research into durable product capabilities and partner shoulder-to-shoulder with Product Management to decide what we build next
• You’ll be the connective tissue between long-term vision, day-to-day engineering, and market-driven product strategy, ensuring that our CV roadmap delivers maximum business and customer impact
• In this role you’ll embed directly with the product trio—Product, Design, and Engineering—to frame problems, size opportunities, and prioritize what makes it onto the roadmap
• You’ll run fast discovery loops that turn research discoveries and customer feedback into clearly scoped experiments
• You’ll navigate technical uncertainty to make “stop / iterate / scale” judgements. By owning the computer-vision objectives and capacity plan, you’ll communicate trade-offs and resource needs to the executive team
• On the technical side, you’ll architect and deliver end-to-end pipelines for multi-view 3D reconstruction, large-scale scene understanding, and semantic modeling—owning everything from data strategy and labeling standards to training, evaluation, and monitored production deployment
• You’ll set engineering benchmarks for performance, reliability, and cost, then lead by example in C++ and Python while mentoring other engineers through design reviews that lift the entire organization’s technical bar