— Good experience working with one of major server-side languages. Preferably Python as we mostly use it atm
— Understanding of compute-bound vs IO-bound load, and how to handle it in production
— Experience with RDBMS(PostgreSQL) and time-series databases (Clickhouse)
— Experience with deployment tools (Docker, Kubernetes) and cloud (AWS/Google Cloud)
— CI/CD — we are using Gitlab currently
— CS background is preferred
— Striving for simplicity in designs [www.infoq.com/...tations/Simple-Made-Easy](www.infoq.com/...tations/Simple-Made-Easy)
— Startup mentality, GSD (Get S**t Done) attitude, constant learning and ambition to grow. Good communication skills.
— Experience with image processing on scale
— Experience with ML in production using any mainstream tools (we are mostly using Tensorflow right now)
— Low-level programming and optimization experience is a huge bonus. Keywords: C/C++/Rust, CUDA, SIMD
— Salary + equity (employee stock options)
— Nice office just 3 minutes walk from Kontraktova station and option to work remotely
— Flat team structure and streamlined processes. Working shoulder to shoulder with founders.
— Business trips to US/UK/Europe are possible
— Access to some of the top-notch tech people around the world through our network
We are looking for a Senior Software Engineer to help us build the next generation of our
— Design, build and support our public API product working closely with ML team and founders. You are expected to bring a huge impact here.
— Engineering image processing and computer vision pipelines
— Design and implement backend services, using mostly Python 3, asyncio.
— Deploy them in the cloud using Kubernetes
— Occasionally help some of our amazing customers with integration
Let’s Enhance makes images great again using latest advancements in Deep Learning and Computer Vision. We have ~4M users registered on our platform, dozens of companies using our API and we process millions of images each month from companies around the globe. We are growing rapidly and embarking on new technological challenges.