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Principal Applied Scientist - AI

UiPath· Engineering
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Bellevue$218k - $265kFull-timePosted 2mo ago

About the role

Lead research and development of frontier AI systems combining foundation models, multimodal reasoning, agentic workflows, and post-training techniques to build autonomous software for enterprise automation. Individual contributor leadership role at UiPath's Advanced ML organization.

Responsibilities

  • Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation.
  • Design novel approaches for post-training, model alignment, reinforcement learning, preference optimization, and synthetic data generation.
  • Develop scalable evaluation frameworks that measure reasoning, tool use, planning, and autonomous task completion.
  • Build production-quality AI systems that combine LLMs, multimodal models, retrieval, planning, memory, and external tool use.
  • Drive innovations in long-context reasoning, workflow generation, autonomous software interaction, and multi-agent orchestration.
  • Design large-scale experiments, analyze model behavior, and iterate using data-driven evaluation.
  • Collaborate closely with engineering and product teams to transition research into production systems.
  • Mentor scientists and engineers while raising the technical bar across the organization.
  • Influence UiPath's long-term AI strategy through technical leadership and scientific innovation.

Qualifications

  • PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Robotics, or a related discipline.
  • Significant experience building and deploying production AI systems based on large language models or multimodal foundation models.
  • Demonstrated ownership of end-to-end ML systems—from research and experimentation through production deployment.
  • Strong programming skills in Python and deep experience with modern ML frameworks such as PyTorch.
  • Experience training or fine-tuning large models using distributed compute infrastructure.
  • Strong publication record or demonstrated technical leadership in applied AI is highly valued.
  • Excellent communication skills and the ability to influence technical direction across organizations.

Skills

Required:Foundation model trainingLLM post-trainingReinforcement Learning from Human Feedback (RLHF)Model evaluationAgentic reasoningTool use / Function callingLong-horizon planningMultimodal learningDistributed training and inferencePyTorchPython
Nice to have:Preference optimization (DPO, PPO, GRPO or similar)Synthetic data generationRetrieval-Augmented Generation (RAG)
Last updated Oct 1, 2026. Interested? Apply on the company site.

About UiPath

Empower your business with UiPath automation platform. Leverage agentic automation to drive AI transformation, streamline workflows, and boost productivity.

Empower your business with UiPath automation platform. Leverage agentic automation to drive AI transformation, streamline workflows, and boost productivity.

RPAAutomationAIPlatformEnterprise
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