Nebius AI

About Nebius AI

Empowering AI with robust infrastructure solutions

🏢 Tech👥 51-250📅 Founded 2022📍 Amsterdam, North Holland, Netherlands

Key Highlights

  • Publicly traded on Nasdaq, expanding AI infrastructure market
  • Headquartered in Amsterdam with hubs in the US, Europe, and Israel
  • Team of around 400 skilled engineers focused on AI/ML
  • Specializes in large-scale GPU clusters and cloud platforms

Nebius is a Nasdaq-listed company headquartered in Amsterdam, specializing in AI infrastructure solutions. With a team of around 400 engineers, Nebius provides large-scale GPU clusters and cloud platforms designed to support the rapid growth of the AI industry. The company has established R&D and co...

🎁 Benefits

Nebius offers competitive equity packages, a flexible PTO policy, and opportunities for remote work. Employees also benefit from a learning budget to ...

🌟 Culture

Nebius fosters a culture centered around engineering excellence and innovation in AI infrastructure. The company values collaboration across its globa...

Overview

Nebius AI is seeking a Senior ML Engineer to work on applied research in AI, focusing on areas like reinforcement learning and agentic systems. You'll collaborate with a talented team and contribute to innovative AI cloud infrastructure solutions.

Job Description

Who you are

You have a strong background in machine learning and AI, with at least 5 years of experience in applied research or engineering roles. Your expertise includes reinforcement learning and you are comfortable working with complex algorithms and data structures. You possess excellent programming skills, particularly in Python, and have experience with AI frameworks and libraries. You thrive in collaborative environments and enjoy working alongside other talented engineers and researchers to solve real-world challenges. You are passionate about advancing the field of AI and are eager to contribute to innovative projects that push the boundaries of technology.

Desirable

Experience with web-scale applications and cloud computing is a plus. Familiarity with agent-based systems and guided search methodologies will set you apart. You are also encouraged to bring any additional skills in data analysis or software development that could enhance your contributions to the team.

What you'll do

As a Senior ML Engineer at Nebius AI, you will be part of a dedicated R&D team focused on applied research in AI. Your primary responsibilities will include developing and implementing reinforcement learning algorithms for agentic systems, as well as conducting experiments to validate your findings. You will collaborate closely with cross-functional teams to apply your research in practical applications, ensuring that your work contributes to the overall success of Nebius's AI cloud infrastructure. You will also have the opportunity to mentor junior engineers and share your knowledge with the team, fostering a culture of learning and innovation.

You will engage in continuous learning and stay updated on the latest advancements in AI and machine learning, applying this knowledge to enhance your work. Your contributions will directly impact the development of cutting-edge tools and resources that help customers solve real-world challenges without the need for massive infrastructure costs. You will be encouraged to propose new ideas and approaches, driving innovation within the team and the company as a whole.

What we offer

Nebius AI provides a competitive salary and a comprehensive benefits package, along with opportunities for professional growth within the company. You will enjoy flexible working arrangements that allow you to balance your personal and professional life effectively. Our dynamic and collaborative work environment values initiative and innovation, making it an exciting place to advance your career. As we continue to grow and expand our products, you will have the chance to work on impactful projects that shape the future of AI and cloud computing. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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