Position: ML / Deep Learning Engineer
Company: Data Science UA
Experience required: 2y
English level: upper

Hey! 

Now we are looking for an ML / Deep Learning Engineer for our partner company. 
You will work with a full cycle of ML project development, from searching and preparing datasets through creating deep learning models to preparing packages for deploying, 
Mission: to create a new type of AI-based personalized content that will help people express their creativity and have fun.
Team: 100+ driven folks on board (Kyiv office), including some of the top AI/ML minds.

CV Challenges:
• image/video instance segmentation and object detection
• image/video synthesis
• image/video emotional recognition
• image reenactment
• audio-driven CV technologies
• instance/anchor tracking, optical flow estimation
• image/video harmonization
• model performance optimization (pruning, distillation, quantization)

Tasks:
• in cooperation with our data team create (label) datasets using existing or newly created tools; create a pipeline for online learning
• implement both well-studied ML solutions and principally new architectures from scratch
• evaluate your solutions both with ML metrics and with Product metrics
• deliver the model in a form that can be easily deployable and maintained, documenting its interfaces
• depending on the complexity of the task work independent or in a team of engineers (optionally as lead)

Minimum Qualifications
• at least 2 years of commercial experience in deep learning in one of the mentioned technologies
• sufficient level of English to explain complex things simply
• an ability to write not trivial architecture from scratch, not just copy/paste from Github
• ability to dive into the problem as deep as your deep learning skills are
• fast iterate a lot of hypothesis through prototyping small but smart solutions
• understanding the key difference in the modern deep concepts, their pros, and cons

Preferred Qualifications
• 4+ years of track record in deep learning, machine learning.
• Practical experience in developing completed Computer Vision solutions.
• Talent to think about the problem both as an engineer and as a product
• Ability to speak with business in their language to solve not ML but product tasks

What you get
• Startup environment with all its ups and downs. Mostly ups.
• Work on the next big thing, a world-known content personalization app. It’s like you live in a Silicon Valley episode, but in Kyiv.
• You can work remotely but we hope to see you in the office sometimes. On a social distance.
• We promise to challenge you to create and be creative. All the time.
• You’ll join the team of smart, driven, active folks who do their job well. And that’s the best part, we think.

Can't wait to meet you!
Just send your CV and let your journey begin ^-^

Any questions? Please drop me a line