DL Researcher

We are seeking a Deep Learning Researcher to join a team developing state-of-the-art DL solutions with high accuracy, speed, and scalability. This role offers a challenging environment to apply your expertise in Deep Learning and contribute to cutting-edge work. You will be expected to have proficient skills in machine learning, particularly within a Deep Learning domain, and conduct experiments to validate hypotheses.

Must Have

• 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

Good to Have

• Top ranks in competitions with prizes and objective metrics (Kaggle, TopCoder, DrivenData, etc.)
• Experience in Time Series tasks

Perks & Benefits

• 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

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.

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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