Computer Vision Engineer

Veriff helps companies all over the world connect with honest people. In a year, our team grew from 17 to 300+, and our software verifies over 3,000 government-issued documents from more than 190 countries. That's millions of verified identities a year and a lot of people working behind the scenes to help make the lives of millions, and one day billions, of people safer online.

Beneath a simple yet elegant user interface lies a complex system of functionalities. Our product and engineering teams make sure that each component complements the other, creating a symphony of online security that only gets better with time. As a part of our Machine Learning team, you will Improve Veriff’s computer vision capabilities by solving authentication. 

You’ll help us protect honest people online by:

• Automating tasks all over the spectrum from experimenting with cutting-edge vision problems (i.e. document validation) to quickly deploying well-solved ones (i.e. face comparison)
• Solving problems with classical computer vision, machine learning, or a combination of
• Building and optimizing pipelines of detectors, i.e. layering OCR on top of a bounding box detector and topping it off with a language model
• Getting clever about infrastructure, perhaps deploying an in-browser face detector, or running a deep neural network on AWS Lambda

You are the right future Veriffian for the job if you:

• Have the skills needed to prototype fast and find out what works
• Can hack together an 80-20 solution and iterate to solve the remaining 20%
• Can solve a broad range of classical computer vision problems
• Are able to demonstrate experience with OpenCV and deep learning
• Have a good command of English and great communication skills
• Bonus: Have experience in building production machine learning systems

You’re an especially awesome match if you have experience with:

• CNN, pytorch, tensorflow, YOLO, keras, RCNN, LSTM, word-embeddings, reinforcement learning, end-to-end learning, or semantic segmentation
• OpenCV, dlib, CNN, pytorch, tensorflow, YOLO, or keras
• Pandas, Kaggle competitions, sklearn, NLP or natural language processing, machine learning, data analysis, or deep learning

At Veriff you will have the opportunity to:

• Create machine learning magic at the world's next big success story (Veriff is backed by investors such as Mosaic Ventures, Taavet Hinrikus, Ashton Kutcher and Paul Buchheit)
• Do impactful work at a startup that’s growing crazy-fast and is packed with career opportunities 
• Join a diverse team of over 44 nationalities
• Receive generous sports benefits and additional health insurance
• Be in a pet-friendly and flexible work environment where you are in charge of balancing freedom and responsibility
• Get all the perks that come with a disruptive tech start-up, including health days, unlimited snacks and coffee at the office, team events, and much more