Responsibilities
- Build and implement pipelines for real-time video analysis involving object detection, motion tracking, human pose estimation, or 3D scene reconstruction
- Investigate integration of LIDAR, depth sensing, or SLAM techniques to enhance model understanding of physical space
- Optimize and adapt machine learning models using field-collected, domain-relevant datasets
- Partner with product and engineering teams to deliver AI-powered features combining video processing and seamless user experience
- Test and apply AI prompting methods and large language models to extract insights from visual data streams
- Contribute to defining the long-term roadmap and foundational architecture for computer vision systems
Benefits
- Play a key role in shaping the evolution of spatial AI within a high-potential, emerging market
- Exercise substantial ownership and influence as part of the founding engineering team
- Engage directly with driven founders and real-world customers to inform development
- Receive competitive compensation including salary and equity
Compensation
Competitive salary + meaningful equity
Work Arrangement
Hybrid — SF, NYC
Team
Work closely with product and engineering teams in a high-impact, early-stage environment
Other
In-person presence preferred in San Francisco; remote work considered for candidates based in New York City