Lumalabs Ai

Lumalabs Ai

Research Scientist / Engineer – Foundation Model: Core Research

Redwood City, USA

Sponsorship not specifiedDetected 141 days ago
AlgorithmsMachine LearningA/B TestingDesign SystemsResearch

About the role

  • Where You Come In This is a rare and foundational opportunity to define the future of multimodal AI.
  • You will be at the forefront of architecting the intelligence governing our world-simulations-the reasoning core at the heart of our world-modeling efforts.
  • This role offers the chance to bridge frontier research with magical, shipped products like Dream Machine and Ray3, solving novel problems where no playbook exists.

Responsibilities

  • Unified Modeling & Efficiency Drive the core research that powers all of Luma's products - co-designing multimodal representations, advancing core algorithms for long-context training, and establishing rigorous scaling laws to predict performance across compute budgets.
  • Develop proxy tasks and automated metrics that serve as the compass for research decisions - ensuring our models optimize for what actually matters to users, not just benchmarks.
  • Research Infrastructure Build the engine for high-velocity research.
  • Maintain production-research parity, ensure reproducibility, and design systems for rapid experimentation - so that novel ideas go from hypothesis to validated result as fast as possible.
  • Proven ability to design and rigorously analyze experiments and to articulate complex technical concepts effectively.

Requirements

  • Practical experience with distributed or high-performance computing environments, particularly managing and optimizing training runs on large-scale GPU clusters.
  • Experience with low-precision training and hardware-aware optimization for next-gen clusters.

Benefits

  • Who You Are A Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Physics, or Mathematics is essential.
  • What Sets You Apart (Bonus Points) A track record of publishing at top-tier venues (NeurIPS, ICML, ICLR) and a mission-driven, "first-principles" mindset.

This listing is sourced directly from Lumalabs Ai's careers page and normalized into a canonical job model.