ABOUT US

We are building technology that revolutionizes the way people shop for home services – moving, painting, remodeling, and beyond. Using computer vision, we pack the expertise of an on-site estimator into a smartphone. We're building a world where getting a quote for home services is as easy and interactive as shopping for products online. Our AI technology has analyzed over 400,000 customer videos in the moving/relocation industry in just the past year (and growing), and we are looking to expand our reach to new industries. We are currently incorporating elements of 3D scene understanding into our technology stack: metric reconstruction, geometry estimation, and semantic analysis from monocular cameras and sensors. We are blending deep learning techniques with classical geometric computer vision and robotics. You will be part of the team building the core computer vision stack and creating the pipeline that will ship to millions of customers. This is an exciting opportunity to be a core contributor to an early-stage company using computer vision to disrupt an industry that hasn't changed in decades!

ABOUT YOU

• You have demonstrated experience with DEEP LEARNING TASKS FOR GEOMETRY 
  • We are specifically seeking candidates with experience working on geometric tasks such as depth and surface normal estimation, deep representations for 3D reconstruction, etc.
• You have a strong grasp of the TRADITIONAL GEOMETRIC FOUNDATIONS OF 3D COMPUTER VISION
• You are SELF-MOTIVATED, a NATURAL EXPERIMENTALIST, and a PRO AT DEBUGGING neural networks
• You have mastery in ONE OR MORE OF THE POPULAR DEEP LEARNING FRAMEWORKS (e.g. Tensorflow, Pytorch)
• You have a STRONG SOFTWARE ENGINEERING or computer science background, with FLUENCY IN PYTHON
• Education
  • You have an MS  IN COMPUTER SCIENCE or a related discipline with a FOCUS ON DEEP LEARNING FOR COMPUTER VISION, or
  • You have a BS WITH 2-3+ YEARS OF DEEP LEARNING AND COMPUTER VISION EXPERIENCE IN INDUSTRY.
  • CANDIDATES_ ARE NOT SCREENED SOLELY ON THE BASIS OF THEIR DEGREE. STRONG APPLICANTS WITHOUT AN MS ARE STILL ENCOURAGED TO APPLY!_
• BONUS: You have published peer-reviewed research papers at top-tier computer vision and machine learning conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, etc.)
• BONUS: You have experience building production computer vision models for deployment in the cloud
• BONUS: You have experience working with Docker and Kubernetes

ABOUT THE ROLE

• You will be in charge of finding the best deep learning solutions to challenging problems in 3D geometry
• You will take ownership over the implementation of state of the art deep learning models
• You will architect a rapid development framework for building, training, and evaluating deep learning models
• You will join a growing CV team building the core technology underpinning our product
• You will work with the product and engineering teams to deploy your models and pipeline in production and build tools to evaluate performance.

WHY WORK WITH US? 

• Join a fantastic team at a magical time - Our early customers love the product and we have grown to mid double-digit customers in the past few months just based on referrals. 
• Meaningfully shape our future products
• Elevate your skills - We are redefining how consumers shop for moving services and that involves learning how to sell a process changing solution to change the industry. You will learn so much that you can look back with pride to say - “I was involved in transitioning a very old school technology with cutting edge tech”
• All of us here love what we do and you will notice it from our fast-paced culture. 
• We have fun as a team - we play Uno at lunch every day and do something fun as a group the last Friday of each month. 
• Competitive base salary 
• Equity
• Medical, Dental and Vision
• 3 Weeks PTO + 10 Government Holidays

FAQ

• This role is full-time and based on-site in San Diego. However, remote arrangements may be acceptable due to the current global pandemic
• We are able to sponsor visas and green cards for exceptional candidates 
• We place a high emphasis on practical industry experience

LOCATION

☀ We are based out of sunny San Diego.