Research Scientist at UiPath

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

PhD in Machine Learning / Computer Science or equivalent practical experience in a technical field
Publication record at leading machine learning conferences is a significant plus (ICML, ICLR, NeurIPS, etc.)
Strong quantitative intuition and mastery of linear algebra, probability and statistics
Software development experience programming in Python and modern ML libraries like PyTorch, Tensorflow, or JAX
Excellent communication and collaboration skills
Good intuition for how computers work, particularly how they interact with modern machine learning techniques
Working knowledge of GNU/Linux

Responsibilities

Develop novel machine learning architectures that form the basis for autonomous agents
Read papers, propose model improvements, implement, and test the new models
Take ownership of a research agenda, including proposing and carrying out high impact research projects
Present research findings both internally and at machine learning conferences
Collaborate with applied scientists and engineers to improve AI/ML products
Stay up to date with the latest research and technology and communicate your knowledge throughout the company
Mentor other members of the team and help hire new people

Skills

Machine Learning

Artificial Intelligence

Model Development

Research

Computer Science

Problem-Solving

Hypothesis Testing

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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