Research Scientist / Engineer - Reasoning

Senior / Staff Research Scientist & Research Engineer — Reasoning and PlanningWe are building next-generation intelligent systems capable of operating autonomously in complex, real-world environments. Our team develops large-scale multimodal foundation models, advanced training infrastructure, and integrated systems that enable intelligent decision-making, planning, and long-horizon behavior.Backed by significant funding and operating at the intersection of AI research, systems engineering, and embodied intelligence, we are investing heavily in next-generation world models and reasoning systems that can generalize beyond static benchmarks into dynamic environments.We are hiring Research Scientists and Research Engineers across senior to staff levels to advance reasoning and planning capabilities in large multimodal models. This work focuses on enabling systems to decompose goals, reason through multi-step problems, plan actions over long horizons, and adapt in unstructured environments.What You’ll DoResearch Multi-Step Reasoning and PlanningDevelop methods for reasoning, planning, and decision-making grounded in multimodal world modelsResearch architectures and training strategies that improve:Compositional generalizationLong-horizon predictionSequential reasoningMulti-step planningAdvance Test-Time Reasoning and SearchExplore and implement inference-time reasoning methods including:Chain-of-thought reasoningBeam searchMonte Carlo Tree Search (MCTS)Self-consistency methodsVerifier-based approachesInvestigate how model rollouts and search procedures can improve planning and action selectionImprove World Models and Decision-MakingStudy how predictive world models can support inference-time planning and controlResearch methods for integrating reasoning capabilities into large-scale model pipelinesCollaborate with training and systems teams to scale and deploy research ideas effectivelyBuild Evaluation and Benchmarking SystemsDesign evaluation benchmarks for reasoning and planning capabilities in dynamic environmentsDevelop metrics and testing methodologies for long-horizon task performance and generalizationAnalyze model behavior and failure modes across complex tasksCollaborate Across Research and EngineeringWork closely with teams spanning pre-training, post-training, systems, and applied AITranslate research ideas into scalable implementations and production-ready systemsPublish and present research at top-tier conferences and venuesWhat We’re Looking ForStrong background in reasoning, planning, search, or sequential decision-making with large modelsDeep understanding of:Sequence modelingTransformer architecturesGenerative modelingExperience with test-time compute and search methods such as:Beam searchMCTSSelf-consistencyVerifier-based reasoningStrong research judgment and ability to identify high-leverage directionsFluency with PyTorch or JAX and ability to implement research ideas end-to-endLevel ExpectationsSenior/MTS candidates are expected to execute complex research projects with strong technical depth and increasing ownershipStaff-level candidates are expected to define technical direction, shape research strategy, and independently lead major initiativesPreferred ExperiencePhD in Machine Learning, Robotics, Computer Science, or related fieldsPublications at top-tier venues such as NeurIPS, ICML, ICLR, CoRL, or similar conferencesPrior work on reasoning in large language or multimodal modelsExperience with:Chain-of-thought reasoningProcess reward modelsSearch-based inference methodsHierarchical reinforcement learningModel-based planningFamiliarity with:Long-horizon predictionVideo generationWorld model rolloutsEmbodied AI or robotic planning systemsWhy This Role MattersWork on one of the most challenging open problems in AI: enabling intelligent systems to reason about actions and long-term outcomesResearch directly impacts real-world behavior and autonomous decision-makingHigh degree of research freedom combined with practical deployment opportunitiesTight collaboration across research, systems, and applied AI teamsOpportunity to shape the future of large-scale reasoning and planning systemsAbout the CompanyWe are a research-driven AI company focused on building scalable intelligent systems capable of robust operation in dynamic environments. By combining advances in machine learning, distributed systems, and large-scale infrastructure, we aim to push the frontier of autonomous intelligence.We are committed to building an inclusive and diverse workplace and encourage applicants from all backgrounds to apply.