Director, Applied Sciences at UiPath

London, England, United Kingdom

UiPath Logo
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

Key technologies and capabilities for this role

PythonPyTorchNumPyScikit-learnLangGraphTensorFlowJAXDistributed SystemsLLMsNLP

Questions & Answers

Common questions about this position

What experience is required for the Director, Applied Sciences role?

Candidates need 10+ years in applied ML, including 4+ years leading multi-team organizations delivering production ML systems, deep expertise in math, statistics, and computer science, proficiency in modern ML frameworks like PyTorch/TensorFlow/JAX and distributed systems, plus exceptional communication skills.

What is the work arrangement or location policy for this position?

Many roles at UiPath allow flexibility in when and where work gets done, with the number of hybrid, office-based, and remote workers varying by team and business needs; the role involves launching and scaling UiPath’s new London site.

What does UiPath's company culture emphasize?

UiPath seeks curious, self-propelled, generous, and genuine people who thrive in a fast-moving, fast-thinking growth company and care about each other, the company, and its larger purpose of transforming the world through automation.

What salary or compensation is offered for this role?

This information is not specified in the job description.

What makes a strong candidate for this position?

Strong candidates have the core required experience even if they don't tick every box, demonstrate passion, and align with values like being kind, motivated, self-starting, and responsible; nice-to-haves include enterprise SaaS experience and state-of-the-art knowledge in LLMs, NLP, or Computer Vision.

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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