Principal Applied Scientist

Ovii's Interpretation of the Role

The Principal Applied Scientist leads the design, research, and deployment of next‑generation machine‑learning systems that power agent‑based automation at UiPath. This role bridges deep AI research with large‑scale production, shaping the future of enterprise automation.

Role Snapshot

• Lead ML architecture for agentic automation
• Design and ship large‑scale LLM solutions
• Build end‑to‑end MLOps pipelines
• Collaborate with product, engineering, and design
• Mentor cross‑functional ML and software engineers
• Drive research‑to‑product translation

Must-Have Requirements

• Python
• ML frameworks (e.g., PyTorch, TensorFlow)
• Large language models / foundation models
• Distributed training and inference
• MLOps and model serving
• Machine learning industry experience
• Building and operating production ML systems

Nice-to-Have Signals

• MS or PhD in Computer Science, Machine Learning, AI or related field

Work Setup

• Location: Bellevue, USA
• Work mode: ONSITE
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Travel requirement
• Security clearance
• Coding test

What You'll Likely Work On

• Define technical strategy for agent‑based automation using LLMs, reinforcement learning, and simulation environments
• Architect, prototype, and deploy advanced ML systems including LLM fine‑tuning, multimodal pipelines, and agent orchestration frameworks
• Design and operate ML infrastructure for training, large‑scale inference, model serving, monitoring, drift detection, and continuous learning
• Partner with product, engineering, design, and go‑to‑market teams to turn research advances into customer‑facing capabilities
• Research state‑of‑the‑art prompting, retrieval‑augmented generation, chain‑of‑thought, tool use, long‑term memory, and RL/imitation learning for agents
• Establish evaluation frameworks, offline/simulation testing, human‑in‑the‑loop feedback, A/B testing, and cost/latency/quality analysis
• Provide technical leadership and mentorship across ML engineering, data science, and software engineering
• Represent UiPath in publications, open‑source projects, conferences, and collaborations with academia

Good Fit If You Have

• Strong communication ability to translate complex ML concepts to product and business audiences
• Proven technical leadership and mentorship experience
• Passion for research‑driven product impact
• Track record of scaling ML systems in production
• Comfort working cross‑functionally with product, engineering, and go‑to‑market teams