Senior AI Scientist: Autonomous Enterprise Automation

FDE Times; Bellevue (WA); Hybrid; USD 210,000 - 320,000; Full time

Job summary

UiPath is seeking a Principal Applied Scientist to lead research and development for autonomous software that can reason, plan, adapt, and act within enterprise applications. You will head the development of frontier AI systems, spanning foundation models, multimodal reasoning, and post-training methods, while guiding engineering teams to production.

The role blends applied research with production engineering, focusing on scalable architectures, rigorous evaluation, and tools integration.

Qualifications

• PhD or equivalent research experience in Computer Science, Machine Learning, AI, Statistics, Robotics, or related field.

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 model training

LLM post-training

Reinforcement Learning from Human Feed

Preference optimization

Reward modeling

Synthetic data generation

Model evaluation

Agentic reasoning

Tool use

Function calling

Long-horizon planning

Multimodal learning

Retrieval-Augmented Generation

Distributed training

Large-scale PyTorch systems

Model alignment and safety

Education

PhD or equivalent research experience

Tools

PyTorch

JAX

CUDA

vLLM

Ray

DeepSpeed

FSDP

Triton

LangGraph

Semantic Kernel

MCP

Vector databases

Kubernetes

Azure AI

Hugging Face

Distributed GPU training infrastructure

Job description

UiPath is seeking a Principal Applied Scientist to lead research and development for autonomous software that can reason, plan, adapt, and act within enterprise applications. You will head the development of frontier AI systems, spanning foundation models, multimodal reasoning, and post-training methods, while guiding engineering teams to production.

The role blends applied research with production engineering, focusing on scalable architectures, rigorous evaluation, and tools integration.