Principal Applied Scientist
At a glance
Senior AI Research role at UiPath. Bellevue · full-time · $200,000–$250,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the technical direction for software agents that use language models, reinforcement learning and tools within the platform
- Build and launch AI systems spanning model tuning, multimodal workflows, computer use and agent coordination
- Develop production infrastructure for training, inference, serving, monitoring and ongoing improvement of agent models
- Turn research into customer-facing features with product, engineering, design and go-to-market teams
- Create ways to test agent quality through simulations, human feedback, experiments and cost or latency measures
What you bring
- At least ten years working in machine learning, including building and running systems in production
- Hands-on experience with language or foundation models, such as tuning them, preparing data, optimizing inference or evaluating results
- Strong Python skills and command of modern machine learning libraries, plus experience connecting models to large software systems
- An advanced degree in computer science, machine learning, AI or a related area, or equivalent experience
Who this fits
This senior technical leadership role suits someone who can guide machine learning strategy while getting research into production. You’ll mentor across engineering and data science, and the role is onsite in Bellevue.
From the employer
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.
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.