Senior Software Engineer, Machine Learning Services (MLS) at UiPath

London, England, United Kingdom

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

5+ years of engineering and architecting large-scale, distributed commercial services
Deep proficiency in a systems-level language (Rust, C++, Go); willingness and curiosity to become an expert in Rust
Strong Python skills
Real-world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes)
Firm grasp of concurrency, multithreading, and asynchronous programming
Pragmatic understanding of computer science fundamentals (data structures and algorithms)
Opinion on what makes good code and good architecture, with ability to articulate it and challenge assumptions

Responsibilities

Design, build, and operate the core MLS platform, including Rust-based API gateway, Python ML compute workers, and distributed job queue
Solve hard concurrency, performance, and distributed systems problems for high-volume production workloads
Work directly with product and ML science teams to understand needs and build scalable infrastructure for their models
Develop custom-built, content-addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), with garbage collection and sharding logic
Enhance asynchronous job-queueing system using compare-and-swap primitives for atomicity
Dive deep into the stack: Kubernetes/container orchestration, gRPC-based service communication, performance tuning of ONNX-based inference on GPU hardware
Write clean, efficient, and rigorously tested code, valuing simplicity, correctness, and peer review

Skills

Rust

Python

Distributed Systems

Machine Learning

Model Serving

API Gateway

Job Queue

Concurrency

Performance Optimization

Multi-tenant Systems

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.

Land your dream remote job 3x faster with AI

Try Jobo Free