Position: Machine Learning Research Engineer
Company: Let's Enhance
Experience required: 3y
English level: intermediate

**About us**

Let’s Enhance makes images great again using latest advancements in Deep Learning and Computer Vision. We have ~2M 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 on an ambitious mission to provide a one-stop solution for all image restoration tasks.

**What you'll do**

We are looking for a passionate ML researcher in Computer Vision and image processing. ML algorithms are the core of what we are doing. You will be working in a dedicated research team on quite a challenging task of developing image restoration algorithms to be used by millions of people and many amazing companies around the world.

You will work shoulder to shoulder with ML research team, backend team and founders to bring your work from the pure idea stage to production-ready algorithm processing millions of images each month.

You will perform deep research to reach production quality competitive with current SOTA in the field. Expect to dig deep into the properties of real-world image degradations, which makes our work fundamentally different from typical solutions you can find in github/popular papers.

**Requirements**

— PhD/MSc/strong background in Quantitative disciplines — Math, Computer Science, Physics.
— Good experience in Machine Learning / Data Science
— Computer Vision algorithms. Experience in image2image translation and image restoration, generative models would be the best fit
— Understanding of signal processing, image/video processing specifically is a bonus
— Practical hands-on experience with major deep learning framework, preferably TF & Keras as we mostly use it day to day
— Good Python coding skills, Matlab or C++ would be a nice bonus
— Creativity and thinking outside the box
— Desire to work in an ambitious and dynamic startup environment, constantly growing and bringing a huge visible impact on our success as a team. Good communication skills and functional English.

**We offer** 

Salary + equity (employee stock options)

Nice office just 3 minutes from Kontraktova station

Flat no-bulls**t team structure and processes.

Business trips to US/UK/Europe are possible

Direct access to world-class researchers through our impressive network.

Support for top world conferences — we were represented on both ECCV and CVPR last year.