Senior AI Scientist – Enterprise Automation & Agents

UiPath, Inc.; Bellevue (KY); Hybrid; USD 210,000 - 290,000; Full time

Job summary

UiPath, Inc. is seeking a Principal Applied Scientist to lead the research and development of large foundation models and agentic AI systems for enterprise automation.

You will design post-training methods, evaluate reasoning and tool use, and ship production-ready AI systems that interact with enterprise software. You will collaborate with engineering and product teams, mentor scientists, and shape UiPath's AI strategy while exploring scalable, multimodal AI approaches and novel evaluation

Qualifications

• PhD or equivalent research experience in Computer Science, ML, AI, Statistics, Robotics, or a related discipline.
• Significant experience building and deploying production AI systems based on large language models or multimodal foundation models.
• Ownership of end-to-end ML systems—from research and experimentation through production deployment.
• Strong programming skills in Python and PyTorch.
• Experience training or fine-tuning large models using distributed compute infrastructure.
• Strong publication record or demonstrated technical leadership in applied AI is highly valued.

Responsibilities

• Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation.
• Design novel approaches for post-training, model alignment, reinforcement learning, preference optimization, and synthetic data generation.
• Develop scalable evaluation frameworks that measure reasoning, tool use, planning, and autonomous task completion.
• Build production-quality AI systems that combine LLMs, multimodal models, retrieval, planning, memory, and external tool use.
• Drive innovations in long-context reasoning, workflow generation, autonomous software interaction, and multi-agent orchestration.
• Design large-scale experiments, analyze model behavior, and iterate using data-driven evaluation.
• Collaborate closely with engineering and product teams to transition research into production systems.
• Mentor scientists and engineers while raising the technical bar across the organization.
• Influence UiPath's long-term AI strategy through technical leadership and scientific innovation.

Skills

Foundation models

Post-training

RLHF

Preference optimization

Reward modeling

Data generation

Model evaluation

Agentic reasoning

Tool use

Long-horizon planning

Multimodal learning

Distributed training

PyTorch

Model alignment

Python

Production deployment

Education

PhD or equivalent

Tools

PyTorch

JAX

CUDA

vLLM

Ray

DeepSpeed

Kubernetes

LangGraph

Semantic Kernel

Vector databases

Job description

UiPath, Inc. is seeking a Principal Applied Scientist to lead the research and development of large foundation models and agentic AI systems for enterprise automation.

You will design post-training methods, evaluate reasoning and tool use, and ship production-ready AI systems that interact with enterprise software. You will collaborate with engineering and product teams, mentor scientists, and shape UiPath's AI strategy while exploring scalable, multimodal AI approaches and novel evaluation