Computer Vision Engineer

San Francisco, CA, United States, Silicon Valley, CA, United States


Role Locations

  • San Francisco, CA, United States
  • Silicon Valley, CA, United States


51 - 100 people


2440 Sand Hill Rd Ste 100
Menlo Park, CA, 94025-6900, US

Tech Stack

  • OpenGL
  • OpenCV
  • Tensorflow
  • Unity3D
  • Android
  • Ffmpeg
  • C++
  • Java
  • Python
  • Firebase
  • PyTorch
  • Elastic Search

Role Description

What You’ll Do

As a Software Engineer, Machine Learning with the Computer Vision group, you will develop software and models that marries cutting-edge computer vision and deep learning with Leia’s Lightfield technology. Some of the core vision tasks you might work on are

Depth from a Single Image  Real-time stereo to multi-view for videos Disparity Estimation Photorealistic style transfer Inverse Rendering Stereo Super-resolution

While a strong focus will be on Deep Learning model training and deployment, you may also be involved in dataset generation, data cleaning, augmentation, and optimization for running on various platforms.

What You’ll Have MS/PhD in Computer Vision, Deep Learning, or a related field 3+ years of experience building deep learning architectures for commercial products. Proficiency in Python (particularly, numpy, scipy, pandas, scikit-image, and scikit-learn) and working knowledge of C/C++. Proficiency with at least one deep learning framework such as PyTorch, TensorFlow, Theano or Caffe. Proficiency with CNN architectures such as ResNet, VGG, UNet, Stacked Hourglass, MobileNet, pix2pix, and CycleGAN. A good understanding of the fundamentals and best practices of deep learning. Experience with open source vision packages such as OpenCV. Experience with data cleaning, analysis, and developing efficient, accurate data annotation schemes. Experience with deep learning model deployment at scale Experience with commercial software development processes: good software hygiene regarding code documentation, unit testing, bug tracking, and version control. Highly motivated, team player with strong technical collaboration skills and desire to learn quickly and develop new skills. Nice to Haves Experience with GPU programming, network optimization, and deployment. Experience with Lightfield technology Experience with stereo vision, photogrammetry, computational photography, or related tasks Experience with Java, Android, and/or Javascript Publications relevant to Computer Vision and/or Deep Learning Boredom is the enemy!

When was the last time technology genuinely surprised you?  When was the last time you held something in your hands that felt new and exciting? When did you last say WOW?

We don't try to put life onto screens; we bring screens to life through interactive, immersive, and immediate 3D Lightfield experiences. In a world of passive viewing, Leia is a breakthrough. Instead of telling you about this future, we’ve built it.

Come join a team that’s ready to redefine the digital experiences of tomorrow!

What We Offer

In order to assemble top talent to help realize this mission Leia offers our employees:

Competitive Compensation Package Medical, Dental, and Vision Plan Retirement Savings Plan 401(k) Catered lunch and dinner daily (Dependent on Location) Stocked kitchen with healthy (and unhealthy) snacks and beverages Onsite workout facility (Dependent on Location)

Leia Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.


About Leia

At Leia our driving purpose is to Light up Life. Screens come alive in richer, deeper, more beautiful ways. Flipping seamlessly between 2D and 3D we make mobile experiences truly immersive: no glasses, no tracking, no fuss. Alongside our display technology we are developing Leia Loft™ — a whole new canvas. A space to create, share and experience holographic content in entirely new ways.

Leia Inc. was founded by David Fattal, Pierre-Emmanuel Evreux and Zhen Peng and is headquartered in Menlo Park, California.

Company Culture

We value action and agility, and try to avoid process for-the-sake of process. While some of our teams choose to use certain processes, we generally allow teams the freedom to self-manage. Engineers are empowered to make product decisions and guide the roadmap.

Interested in this role?
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