Director, Applied Sciences at UiPath

London, England, United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automation, Enterprise SaaSIndustries

Requirements

10+ years in applied ML, including 4+ years leading multi-team organizations delivering production ML systems
Deep ML expertise, with strong foundations in math, statistics, and computer science
Proficiency in modern ML frameworks (PyTorch/TensorFlow/JAX) and distributed systems
Exceptional communication skills—able to simplify complex topics for executives and provide precise technical guidance to teams
Values: Kind, motivated, self-starting, and responsible
Nice to have
Experience in enterprise SaaS, automation, or developer platforms
Experience running large-scale evaluation and optimizing models
State of the art knowledge in one of the following: LLMs, NLP or Computer Vision, with publications, patents or OSS contributions in this space

Responsibilities

Lead and scale a high-performing Applied Science org at the intersection of research and product
Set strategy, raise the bar on scientific excellence, and ship reliable, cost-efficient ML systems that power UiPath
Dive into models when it matters and shape roadmaps, talent, and cross-functional execution
Build and lead a multi-disciplinary team of applied scientists across core product lines (document understanding, UI automation, agents)
Launch and scale UiPath’s new London site
Deliver quantifiable improvements in model quality, latency, cost efficiency, safety, and reliability through rapid research-to-production cycles

Skills

Python

PyTorch

NumPy

Scikit-learn

LangGraph

TensorFlow

JAX

Distributed Systems

LLMs

NLP

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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