[2026] Senior Machine Learning Engineer, Recommendation Systems - PhD Early Career

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces
• 2
  Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI
• 3
  Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation
• 4
  Translate research into production systems that impact hundreds of millions of daily active users
• 5
  Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth

RequirementsAI-extracted

• Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas
• Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models
• Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms
• A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues
• Proficiency in one or more programming languages and experience building and optimizing large-scale systems

Perks & BenefitsAI-extracted