Remote | United States | Engineering | Full-time

This role is 100% remote in the United States.

Engineer III, Research - Remote

At Luna, our mission is to make quality, affordable vision care accessible for all.

Our diverse team is working to advance the vision industry with an ever-growing collection of innovative solutions designed to address the toughest challenges facing eyewear businesses and doctors. We offer suites of products and services that improve and increase vision prescription access, streamline online shopping with virtual try-on and facial measurements, and support fulfillment and delivery.

We partner with forward-looking eyewear retailers and brands, as well as eye doctors and optical shops, to accelerate their digital transformation with end-to-end solutions that revolutionize vision experiences online, offline, and everywhere in-between. Our solutions are currently used by over 10 million users each month, all around the world.

Luna is looking for a Research Engineer to keep us pushing the edge of applied computer vision and machine learning techniques. We use a combination of traditional computer vision and various flavors of neural nets for object detection, feature tracking, 3d reconstruction and more. Our augmented reality application straddles techniques relevant to differential geometry, biometrics, image restoration, mobile/embedded cv, and human pose and motion, among others. Our recommendations application blends large data, sparse data, and subjective data to engage customers and learn from them.

What you'll do:

• Work with your peers to develop and evaluate algorithms that improve or expand our AR virtual try-on platform and recommendation systems
• Develop a medical grade measurement tools based on a novel head scan
• Curate and refine appropriate datasets and metrics
• Read and discuss relevant papers with the research team, and peer review
• Work with Platform to harden research results for production

About you:

• 5+ years of experience in research development with Python and/or C++
• Expertise in Computer Vision field with 3+ years of hands-on experience involving real-world data
• Solid understanding of machine learning techniques, especially relating to object detection and landmark localization in images
• Solid understanding of computer science algorithms, data structures, and numerical optimization methods

• Solid understanding of computer vision systems; experience with OpenCV and build systems
• Skilled with data analysis stacks e.g. Python/Pandas/numpy/scipy/matplotlib, R or similar
• Experience with PyTorch/Tensorflow/JAX is a huge plus
• Proven problem solving and analytical skills
• Experience with Linux, AWS, shell scripting, and configuration management systems
• Experience with OpenGL/GLSL is a plus
• Interests in augmented reality and rendering systems
• Strong technical communicator. Plots and graphs should be your tool of choice, and you're happiest explaining complicated concepts to non-technical audience
• Ph.D. or Master's degree, or equivalent, in Computer Science, Math, Engineering, or related field. (Luna recognizes that knowledge and skills equivalent to those earned in a degree program can also be achieved via nontraditional paths and welcomes applicants with nontraditional training.)

About us:

We're bright minds creating innovative solutions to real problems in the vision space. We are passionate people who bring big energy to big problems and aren't afraid to do things differently or take a new approach to old challenges. We inspire and support each other in our mission to make quality, affordable vision care accessible for all.

Our diverse team includes engineers, eye doctors, entrepreneurs, creatives, and researchers who come together from all around the world to revolutionize the vision industry with smart, well-designed solutions. Our distributed workforce philosophy allows us to find the best fit for our roles based on talent, not on location.

Perks & company culture:

We offer all the perks you should expect from a great tech company: competitive salary, meaningful equity-upside, medical and dental insurance, unlimited PTO, and a 401(k) with a company match. We care a lot about doing the little things well and work hard to build a strong team culture. We organize online team events and activities to bring our remote teams together and find creative ways to build our culture with team members around the world.

Inclusion and listening are at the heart of our brand culture. We celebrate different backgrounds, experiences, and perspectives and encourage everyone to be their authentic self at work. We welcome everyone regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or genetics. We dedicate ourselves to providing an inclusive, open, and diverse work environment. For these reasons and more, Luna is a proud equal employment opportunity employer.