UiPath · 1 week ago
Principal Applied Scientist
Bellevue, WA
Full-time
Hybrid
Lead/Staff
$200K/yr - $250K/yr
10+ years expUiPath is committed to creating category-leading enterprise software that unleashes the power of automation. As a Principal Applied Scientist, you will lead the architecture, research, and productization of next-generation ML systems, bridging deep research with deployment at scale and shaping the future of enterprise automation.
Agentic AIArtificial Intelligence (AI)Business IntelligenceBusiness Process Automation (BPA)Developer ToolsEnterprise SoftwareMachine Learning
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
Qualification
Required
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
Company
UiPath
UiPath is a software company that designs and develops robotic process automation and artificial intelligence applications.
1001-5000 employees
H1B Sponsorship
UiPath has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (31)
2024 (44)
2023 (34)
2022 (64)
2021 (23)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
$1.99BKey Investors
CoatueAccelBek Ventures
2023-03-04Post Ipo Equity
2021-04-21IPO
2021-02-01Series F· $750M
Leadership Team
Koichi Hasegawa
CEO
Raghu Malpani
Chief Technology Officer
Recent News
The Motley Fool
2026-01-16
Company data provided by crunchbase