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

Key technologies and capabilities for this role

Machine LearningDeep LearningNLPNLUNLGComputer VisionMultimodal LearningReinforcement LearningScalable ML Infrastructure

Questions & Answers

Common questions about this position

What is the salary range for the Principal Applied Scientist role?

The salary range is $200K - $290K.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key qualifications and skills required for this role?

Candidates need a PhD or MS in Computer Science, Machine Learning, Statistics, or related field, 5+ years in ML research and large-scale deployment, deep expertise in NLP, computer vision, multimodal learning, or reinforcement learning, and demonstrated success leading ML projects.

What is the team and culture like at UiPath for this role?

The role is within UiPath's advanced machine learning research group, which builds large multi-modal models to operate software like humans, emphasizing innovation, rigor, technical leadership, and staying ahead of industry advancements.

What makes a strong candidate for this Principal Applied Scientist position?

A strong candidate has a PhD or MS in a relevant field, 5+ years of ML research and deployment experience, deep expertise in key ML areas like NLP or computer vision, and proven success leading complex ML projects with hands-on leadership.

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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