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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Deep Learning Engineer (Voice)

Requirements

  • Production experience in deep learning within natural language processing and voice technologies
  • 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 productionize 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
  • Expertise with additional programming languages, such as Java, Scala, C++
  • Experience at a large tech company worth >$15B
  • School/university Olympiad medal competitions in physics, maths, economics, or programming

What you'll be doing

  • Building AI voice products from the ground up, including voice assistants, AI-powered call center agents, AI-driven outbound sales agents, and more
  • Developing real-time, user-facing features powered by LLMs and deep learning models
  • Delivering scalable, production-grade AI solutions that support millions of customers
  • Collaborating across teams (Product, Engineering, Data, Ops) to integrate advanced AI in meaningful ways
  • Experimenting and iterating on advanced voice and NLP systems

Perks and Benefits

  • Vilnius: €6,300 - €9,300 gross monthly*
  • Lithuania: €6,300 - €9,300 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

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

Remote
Experience: Senior
Posted: August 15, 2025
Last seen: 10 minutes 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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