Middle Researcher to the Research team (MobileHealth)
Fork: 140-220k net for full-time

Format: full-time or part-time (20 hours/week), remote work (including outside the Russian Federation) or office at MIPT

Description:
We make MobileHealth solutions for those. giants based on neural networks. Our solutions now run on millions of devices from different companies around the world.
The tasks are non-trivial, they have a strong research component. Our task is to make a model; the customer packages it into a product.
We have curated and clean datasets + extensive R&D experience. As a result, there are few MLops and Data Engineering tasks; the main emphasis is on the quality and efficiency of the ML model.
Nevertheless, we try to keep the engineering culture high: we need to develop an infrastructure for quickly testing very different hypotheses. Bad code creates friction in research.
A project at the intersection of three areas: Computer Vision, Time-Series Analysis and Edge Computing (including model compression: quantization, pruning, distillation etc.)

What tasks will you have to do:
  • Code infrastructure for DL experiments in CV, Time-Series and Model Compression.
  • Prepare and run reproducible and well-designed computational experiments.
  • Solve engineering and research problems that arise along the way: come up with heuristics, write a custom architecture or loss, interpret non-obvious results, etc.
  • Read scientific articles on the topic of the project.
  • Communicate openly and closely with the team and the customer orally and in writing in Russian and English.

Knowledge, abilities, skills:
  • 2+ years of experience in DL, preferably CV or signals.
  • Free Python, Linux, Git, work on a remote server.
  • Fluent in pytorch, numpy, pandas, visualize data.
  • Good mathematical base: linal, theory, matan.
  • Ability to write clean and readable code.
  • A creative approach, courage in ideas and a researcher’s mindset.
  • Understanding of the internals of neural networks, knowledge of architectures, heuristics and metrics.
  • Experience in model compression is preferred.
  • Experience in publishing scientific articles is preferred.
  • Management experience is preferred, one leadership position is open per project.
  • Special respect for your background in digital signal processing.
  • English B2+

Conditions:
  • Work remotely or from an office in Dolgoprudny.
  • Flat structure, good opportunities for growth as a team leader.
  • Possibility to work part time.

Next steps:
  • Leave a request on the website
DO YOU WANT TO BE ON THE TEAM?
SUBMIT YOUR RESUME!
CV
Name CV_Name_Surname.pdf
Why do you like us as a team? Why choose our position? You can say a few words about yourself and your plans.
Description of example research projects.
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