Principal Applied Scientist- AI at UiPath

Bellevue, Washington, United States

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$200,000 – $290,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, AutomationIndustries

Requirements

PhD or MS in Computer Science, Machine Learning, Statistics, or a related field
5+ years of experience in machine learning research and large-scale system deployment
Deep expertise in areas such as natural language processing, computer vision, multimodal learning, or reinforcement learning
Demonstrated success leading ML projects

Responsibilities

Lead the design and development of state-of-the-art machine learning and deep learning systems for real-world production environments
Innovate in NLP, NLU, NLG, computer vision, and multi-modal learning to drive breakthroughs in software automation
Define and drive the roadmap for scalable ML infrastructure and research-to-production pipelines
Architect experiments, conduct in-depth benchmarking, and analyze large-scale datasets to evaluate and improve model performance
Collaborate cross-functionally with engineering, product, and research teams to integrate ML systems into UiPath products
Mentor and guide other scientists and engineers, providing technical leadership and fostering a culture of innovation and rigor
Stay ahead of industry and academic advancements, influencing the company’s research strategy and sharing insights across the organization

Skills

Machine Learning

Deep Learning

NLP

NLU

NLG

Computer Vision

Multimodal Learning

Reinforcement Learning

Scalable ML Infrastructure

UiPath

Robotic process automation software solutions

About UiPath

UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.

New York City, New YorkHeadquarters

2005Year Founded

$1,936.8MTotal Funding

IPOCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Rapid AI agent evolution may outpace UiPath's current RPA offerings.

High implementation costs and rigidity of traditional RPA tools could deter clients.

Emergence of platforms like Salesforce's Agentforce may provide competitive alternatives.

Differentiation

UiPath offers AI-driven workflows enhancing business efficiency through intelligent automation.

The company provides robust governance and multiple robots on a single virtual machine.

UiPath's marketplace for third-party integrations expands its ecosystem and customer solutions.

Upsides

UiPath leads the 2024 Everest Group automation assessment, showcasing industry leadership.

The launch of AI Trust Layer enhances governance of GenAI features across the platform.

Collaboration with The Bank of East Asia expands UiPath's enterprise automation solutions.

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