DL Researcher
Job Summary
Job Description
As a Deep Learning Researcher, you will be working on developing state-of-the-art Deep Learning solutions, focusing on accuracy, speed, and scalability. You will need strong skills in Machine Learning, particularly in one or more Deep Learning domains. You will be part of a team of highly qualified professionals in an environment that fosters innovation and rapid feedback loops. Responsibilities will include working on the development of solutions based on DL with state-of-the-art performance and conducting experiments to facilitate rapid iterations and validate hypotheses.
Must have:
- Proficient knowledge in Deep Learning domains (CV, NLP, TimeSeries, Audio, etc.)
- Experience in development of scalable and reproducible ML pipelines
- Competency in conducting experiments to facilitate rapid iterations
Good to have:
- Top ranks in competitions with prizes (Kaggle, TopCoder, etc.)
- Experience in Time Series tasks
Perks:
- Great challenges with fast feedback loops
- A welcoming group of highly qualified international professionals
- Cutting-edge hardware and technology
- Work remotely from anywhere in the world
- Access any of our global offices anytime
- Flexible schedule
- 40 paid days off
- Competitive salary
2 skills required
Job Details
We are currently seeking a Deep Learning Researcher. You have stumbled upon a gem in Deep Learning vacancies. A place to put to use your hard-earned experience and show some state-of-the-art work in a highly competitive environment where all your skills will be put to test.
Feel free to go through the details and learn more from our recruitment team.
What You’ll Be Doing:
- The team you’ll join is working on developing solutions based on DL with state-of-the-art performance in terms of accuracy/speed/scalability.
- We expect you to have proficient skills in ML, in particular in one of Deep Learning domains.
What We Look For In You:
- Proficient knowledge in one of Deep Learning domains (CV, NLP, TimeSeries, Audio, etc.)
- Experience in development scalable and reproducible ML pipelines
- Competency in conducting experiments to facilitate rapid iterations and validate hypotheses
Nice-to-have:
- Top ranks in competitions with prizes and objective metrics (Kaggle, TopCoder, DrivenData, etc.)
- Experience in Time Series tasks
Why Should You Join Our Team?
- Great challenges with fast feedback loops
- A welcoming group of highly qualified international professionals
- Cutting-edge hardware and technology
- Work remotely from anywhere in the world
- Access any of our global offices anytime
- Flexible schedule
- 40 paid days off
- Competitive salary
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