DL Researcher

Eqvilent; Poland; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading Deep Learning company is seeking a Deep Learning Researcher to develop state-of-the-art solutions. This role requires proficiency in machine learning and detailed knowledge in various deep learning domains. Successful candidates will enjoy remote work, cutting-edge technology, and a supportive international team environment. Join us and tackle significant challenges with rapid feedback loops.

Benefits

40 paid days off

Access to global offices

Cutting-edge hardware and technology

Qualifications

• Proficient knowledge in one of 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.

Responsibilities

• Develop solutions based on Deep Learning with state-of-the-art performance.
• Work collaboratively with a team of qualified international professionals.
• Use cutting-edge hardware and technology.

Skills

Deep Learning

Machine Learning

Computer Vision

Natural Language Processing

Experimentation

Job description

Overview

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
• 40 paid days off

Apply for this job

The application form and submission details are provided on the careers page. This posting originally included fields for First Name, Last Name, Email, Phone, Country, Resume/CV, LinkedIn Profile, and how you heard about us, but those details are not repeated here.