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Senior ML Engineer (AI Research) at Nebius | Worldwide (Remote)

Company/Recruiter: Nebius

Published on: Oct 27, 2026 $210,000/year · Closes Nov 26, 2026
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Opportunity snapshot

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Opportunity type

Job

Location

Worldwide

Work arrangement

Remote

Compensation

$210,000/year

Closing date

Nov 26, 2026

Employer

Nebius

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Proven experience in machine learning engineering and AI research.; Strong understanding of deep learning frameworks and ML libraries.. Use one concrete example that shows you can Design, develop, and implement advanced machine learning models and algorithms..

Check before applying: Confirm that Worldwide and the stated work arrangement suit you, check the closing date of Nov 26, 2026.

  • Apply before Nov 26, 2026.
  • The application route is available to verified Talent accounts.
Nebius is seeking a highly skilled and innovative Senior ML Engineer to join our AI Research team. In this role, you will contribute to cutting-edge advancements in cloud infrastructure for the global AI economy, developing and refining our full-stack AI cloud platform. You will collaborate with a talented team to push the boundaries of AI development and deployment, enabling developers and enterprises to achieve their goals.

Job Overview

As a Senior ML Engineer, you will play a pivotal role in advancing Nebius's AI research initiatives. This position is integral to enhancing our AI cloud platform, focusing on developing sophisticated machine learning models and algorithms that drive innovation in the AI landscape.

Key Responsibilities

  • Design, develop, and implement advanced machine learning models and algorithms.
  • Conduct research to identify and explore new AI techniques and technologies.
  • Optimize ML models for performance, scalability, and efficiency on cloud infrastructure.
  • Collaborate with cross-functional teams to integrate ML solutions into the platform.
  • Contribute to the overall AI strategy and roadmap of Nebius.

Requirements

  • Proven experience in machine learning engineering and AI research.
  • Strong understanding of deep learning frameworks and ML libraries.
  • Proficiency in programming languages commonly used in ML (e.g., Python).
  • Experience with cloud computing platforms and distributed systems.
  • Excellent problem-solving and analytical skills.

What We Offer

  • Opportunity to work on groundbreaking AI technologies.
  • Collaborative and innovative work environment.
  • Professional development and growth opportunities.
  • Competitive compensation and benefits package.

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