Senior Computer Vision Engineer

Summary

Join Polycam as a Senior Computer Vision Engineer to enhance our mobile 3D capture pipeline. Collaborate with a team of experienced engineers to tackle challenging problems in 3D computer vision. Develop and productionize technology for accurate, accessible, and useful 3D reconstruction. Build tools that empower creators and professionals. The role involves working with 3D reconstruction, AI model design and testing, and strong coding skills. A competitive salary and benefits package are offered.

Requirements

• Experience working in 3D reconstruction, with deep experience in at least one part of the stack (SfM, depth estimation, mesh reconstruction, texturing)
• Experience designing, training and testing out AI models
• Knowledge of machine learning model architectural elements (Diffusion, vision transformers, encoders, etc.)
• Strong math, geometry and linear algebra fundamentals
• Numerical optimization
• Strong C++, Python, and PyTorch coding skills and engineering best practices

Responsibilities

• Improve our mobile 3D capture pipeline
• Working with a small team of other senior CV engineers with decades of experience working on 3D reconstruction, to help solve some of the hardest problems in 3D computer vision
• Develop and productionize technology which makes 3D reconstruction as accurate, accessible and useful as possible
• Building great tools that empower creators and professionals

Preferred Qualifications

• Experience working with NeRFs or Gaussian Splatting
• Experience deploying algorithms to run on resource constrained devices like mobile phones
• Infrastructure experience (JavaScript, TypeScript, SQL, databases, batch jobs, server integration, spot instances, etc.)
• Experience using Swift or React Native
• Masters or PhD in computer vision, computer science, math, physics or related subject

Benefits

• Medical, dental, vision, and life insurance
• Health and Dependent Care FSAs
• 401(k) plan
• Flexible PTO policy
• Flex-time working hours
• 12 weeks of parental leave
• $1,500 annually to spend on certifications, courses, training, and more!