Lead Applied Scientist — Autonomous AI for Enterprise

Fdetimes

Bellevue (WA)

In loco

USD 180.000 - 240.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

UiPath is seeking a Principal Applied Scientist to lead research and development of large-scale foundation models and agentic AI systems for enterprise automation. You will design novel approaches for post-training, RLHF, and data generation, and build production-ready AI systems that interact with enterprise software and tools.

You will collaborate with engineering and product teams, mentor scientists, and help shape UiPath's AI strategy.

Competenze

  • Frontier AI research with production impact.
  • End-to-end ML systems ownership from research to deployment.
  • Strong Python and ML framework skills (PyTorch).
  • Experience training/fine-tuning large models on distributed infra.
  • Publications or demonstrated leadership valued.

Mansioni

  • Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation.
  • Design post-training, model alignment, RLHF, and data generation approaches.
  • Develop scalable evaluation frameworks for reasoning, tool use, planning, and autonomous tasks.
  • Build production-quality AI systems integrating LLMs, multimodal models, retrieval, and tools.
  • Collaborate with engineering/product teams to productionise research; mentor staff.

Conoscenze

Foundation models
LLM post-training
Reinforcement Learning from Human反馈
Preference optimization
Reward modeling
Synthetic data generation
Model evaluation
Agentic reasoning
Tool use
Function calling
Long-horizon planning
Multimodal learning
RAG
Distributed training
PyTorch
JAX
CUDA
vLLM
Ray
DeepSpeed
FSDP
Triton
LangGraph
Semantic Kernel
MCP
Vector databases
Kubernetes
Azure AI
Hugging Face

Formazione

PhD in Computer Science / ML / AI

Strumenti

PyTorch
JAX
CUDA
vLLM
Ray
DeepSpeed
FSDP
Triton
LangGraph
Semantic Kernel
MCP
Vector databases
Kubernetes
Azure AI
Hugging Face
Distributed GPU training

Descrizione del lavoro

UiPath is seeking a Principal Applied Scientist to lead research and development of large-scale foundation models and agentic AI systems for enterprise automation. You will design novel approaches for post-training, RLHF, and data generation, and build production-ready AI systems that interact with enterprise software and tools.

You will collaborate with engineering and product teams, mentor scientists, and help shape UiPath's AI strategy.

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