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

Roblox Roblox · Consumer · San Mateo, CA · Early Career Full-Time

Senior Machine Learning Engineer focused on Recommendation Systems at Roblox. The role involves designing and implementing large-scale recommendation systems using deep learning, generative AI, and LLMs for discovery across experiences, avatars, and creator content. It bridges research and production, impacting hundreds of millions of users.

What you'd actually do

  1. Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces — experiences, avatars, and creator content.
  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.

Skills

Required

  • PhD in computer science, engineering, or related field
  • Expertise in recommender systems, search systems, information retrieval, or generative models
  • Ability to design and architect systems for efficient personalization and user interest modeling
  • Proficiency in Python, C++, Go, or Java
  • Experience building and optimizing large-scale systems

Nice to have

  • Thesis aligned to Roblox’s research areas
  • Advanced attention mechanisms (e.g., sparse/linear attention)
  • Multimodal models
  • LLMs
  • VLMs
  • VLAs

What the JD emphasized

  • 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 (e.g., LLMs, VLMs, VLAs)
  • A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS)

Other signals

  • recommendation systems
  • deep learning
  • generative AI
  • LLMs
  • large-scale engineering
  • production systems