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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Data Scientist (NLP Deep Learning Engineer)

Requirements

  • Experience in Deep Learning within Natural Language Processing area and Large Language Models
  • A Bachelor's degree in a STEM major (mathematics, computer science, engineering)
  • Excellent knowledge of data science (python, SQL) and production tools
  • A deep understanding of probability and statistics fundamentals
  • Big picture thinking to correctly diagnose problems and productionising research
  • Excellent communication and collaboration skills to partner with Product Owners and business heads

Nice to have

  • A master's or PhD in a quantitative discipline
  • Strong experience with additional programming languages, such as Java, Scala, C++
  • Experience at a large tech company worth >$15B
  • School/University Olympic medal competitions in physics, maths, economics or programming

What you'll be doing

  • Building AI-driven features from scratch like personal assistants, chatbots, copilots and more
  • Developing user-focused and backend features using deep learning
  • Delivering impactful, scalable, data-driven AI solutions
  • Collaborating with Product, Engineering, and Data teams to solve deep learning challenges
  • Integrating cutting-edge AI technologies to drive innovation at Revolut

Perks and Benefits

  • Vilnius: €6,300 - €11,200 gross monthly*
  • Lithuania: €6,300 - €11,200 gross monthly*
  • Other locations: Compensation will be discussed during the interview process

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience

AI Summary ✨
Revolut logo

Revolut

Lithuania, Poland, Portugal, Romania, Spain, United Arab Emirates

Remote
Experience: Senior
Posted: December 6, 2024
Last seen: 2 hours ago
Java
Python
machinelearning

Why we track Revolut

Revolut is one of Europe's biggest fintech companies, headquartered in London. They move fast and hire aggressively across the EU. The engineering challenges around building a global financial platform are real. High pace, high ambition.

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