UiPath

Senior Applied Scientist

London, England, United Kingdom

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, with a strong preference for a Ph.D., and demonstrate a deep understanding of Python and modern machine learning libraries such as PyTorch, TensorFlow, or JAX. They should have the ability to implement models from academic papers like ICML, ICLR, NeurIPS, and a solid foundation in linear algebra, probability, and statistics, along with knowledge of data structures and algorithms.

Responsibilities

As a Senior Applied Scientist, you will build, optimize, and deploy machine learning models to solve complex problems, read and implement research-based model improvements, propose model enhancements, conduct regular benchmarks and statistical analysis, present findings to the team, and think about human-computer interfaces to make machine learning models accessible. You will also be responsible for scaling up models and ensuring they are reliable and efficient in production.

Skills

Python
PyTorch
TensorFlow
JAX
Linear Algebra
Probability
Statistics
Data Structures
Algorithms
Benchmarking
Statistical Analysis
Human-Computer Interface Design

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.

Key Metrics

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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