Principal Applied Scientist

UiPath; Bellevue (WA); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Flexible work arrangements

Inclusive workplace

Diversity in hiring

Job summary

A leading automation company seeks a Principal Applied Scientist in Bellevue, WA. The role involves defining technical strategies for agent-based automation, deploying ML systems, and mentoring teams in cutting-edge AI technologies. The ideal candidate has an advanced degree, over 10 years of industry experience, and deep expertise in ML frameworks, Python, and communication skills. This position offers flexibility in work arrangements and values diverse backgrounds in its hiring process.

Qualifications

• 10+ years of industry experience in machine learning.
• Deep expertise in modern ML systems and frameworks.
• Experience with large language models and distributed training.

Responsibilities

• Define and drive technical strategy for agent-based automation.
• Architect and deploy advanced ML and AI systems.
• Lead design and implementation of ML infrastructure for model training.

Skills

Machine Learning

Python

AI

Communication

Technical Leadership

Education

Advanced degree in Computer Science, Machine Learning, AI, or related field

Tools

ML frameworks and libraries

Job description

Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self‑propelled, generous, and genuine. People who love being part of a fast‑moving, fast‑thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

As a Principal Applied Scientist, you will lead the architecture, research, and productization of these next‑generation ML systems, bridging deep research with deployment at scale and shaping the future of enterprise automation.

What You Will Do

• 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.

What We Are Looking For

• 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.

#LI-MH1

Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office‑based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.