AI Research Engineer

Engineers on the team today:

• Work primarily in Python and PyTorch

• Implement cutting-edge research papers to explore and learn

• A perseverance to experiment but understand not everything they accomplish will be used in our products

• Are supportive—especially when teammates are faced with new challenges

• Are left to autonomously figure out the solutions to their challenges

• Value clear, frequent communication (we do a lot of reading & writing)

• Are naturally curious and willing to take a step to learn something they don’t have experience in

• Feel a great sense of accountability to each other

• Uphold best practices in engineering, security, and design

You might be the wrong fit if…

• Publishing papers and earning citations is one of your top 3 priorities

• Working on research that ships to users hasn’t been a priority for you

• Writing production worthy code is something you tend to avoid

• Teaching or mentoring people from time-to-time isn’t how you want to spend your time

Skills & Experience

• Background in Computer Vision and/or Natural Language Processing

• Track record of implementing research you can show

• Bonus: Scaling distributed systems for the purposes of training

• Having a PhD is not important to us but a track record of building real things in production is

• 4+ years of working full-time

Here are examples of things we’ve worked on:

• Building an aesthetic classifier to predict aesthetically pleasing images by user ratings

• Predicting highly accurate object masks from bounding boxes