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Principal Applied Scientist

UiPath· Engineering
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Bellevue$200k - $250kFull-timePosted 10mo ago

About the role

Lead architecture, research, and productization of next-generation ML systems, bridging deep research with deployment at scale to shape the future of enterprise automation.

Responsibilities

  • Define and drive technical strategy for agent-based automation, including how autonomous agents use LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to integrate with the UiPath platform.
  • Architect, prototype, and deploy advanced ML and AI systems, covering LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems.
  • Lead the design and implementation of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems.
  • Partner closely with product, engineering, design, and go-to-market teams to translate research advances into customer-facing capabilities.
  • Research state-of-the-art techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, and apply them to automation workflows.
  • Establish best practices, frameworks, and metrics for evaluating agentic systems, including offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and cost, latency, and quality analysis.
  • Serve as a technical leader and mentor across ML engineering, data science, and software engineering, fostering a culture of experimentation, reproducibility, versioning, and rigorous evaluation.
  • Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academia or ecosystem partners.

Qualifications

  • Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI, or a related field, or equivalent experience.
  • 10+ years of industry experience in machine learning, including substantial experience building and operating ML systems in production.
  • Deep expertise in modern ML frameworks and libraries, strong proficiency in Python, and experience integrating ML models into large-scale software systems.
  • Proven experience with large language models or foundation models, including fine-tuning, data preparation, inference optimization, or model evaluation.
  • Experience with large datasets, distributed training or inference, scalable architecture design, and optimization for latency, throughput, and cost.
  • Excellent communication skills with the ability to translate complex ML concepts to product and business audiences.
  • Demonstrated technical leadership in mentoring, influencing strategy, balancing research with delivery, and driving high-impact outcomes.

Skills

Required:Advanced degree and domain expertisePythonLarge Language Models / Foundation ModelsML infrastructure and MLOpsProduction ML systemsCommunication and leadership

Benefits

  • Flexible work arrangements (hybrid, remote, onsite as per team needs)
Last updated Sep 3, 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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