Principal Software Engineer- Machine Learning at UiPath

Bellevue, Washington, United States

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$200,000 – $250,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AutomationIndustries

Requirements

Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI, or a related field, or equivalent experience
10+ years of industry experience in machine learning, including substantial experience building and operating ML systems in production
Deep expertise in modern ML frameworks and libraries, strong proficiency in Python, and experience integrating ML models into large-scale software systems
Proven experience with large language models or foundation models, including fine-tuning, data preparation, inference optimization, or model evaluation
Experience with large datasets, distributed training or inference, scalable architecture design, and optimization for latency, throughput, and cost
Excellent communication skills with the ability to translate complex ML concepts to product and business audiences
Demonstrated technical leadership in mentoring, influencing strategy, balancing research with delivery, and driving high-impact outcomes

Responsibilities

Define and drive technical strategy for agent-based automation, including how autonomous agents use LLMs, reinforcement learning, simulation environments, tool use, and multi-step reasoning to integrate with the UiPath platform
Architect, prototype, and deploy advanced ML and AI systems, covering LLM fine-tuning, multimodal pipelines, computer-use modeling, agent orchestration frameworks, and decision-making systems
Lead the design and implementation of ML infrastructure and services for model training, fine-tuning, large-scale inference, model serving, monitoring, drift detection, continuous learning loops, and ML operations for agentic systems
Partner closely with product, engineering, design, and go-to-market teams to translate research advances into customer-facing capabilities
Research state-of-the-art techniques in prompting, retrieval-augmented generation, chain-of-thought, tool use, long-term memory, and RL or imitation learning for agent behavior, and apply them to automation workflows
Establish best practices, frameworks, and metrics for evaluating agentic systems, including offline evaluation, simulation environments, human-in-the-loop feedback, A/B testing, and cost, latency, and quality analysis
Serve as a technical leader and mentor across ML engineering, data science, and software engineering, fostering a culture of experimentation, reproducibility, versioning, and rigorous evaluation
Represent UiPath in the broader community through publications, open-source contributions, conference participation, and collaboration with academia or ecosystem partners

Skills

Key technologies and capabilities for this role

Machine LearningLLMsReinforcement LearningLLM Fine-TuningMultimodal PipelinesAgent OrchestrationML InfrastructureModel TrainingModel ServingMLOpsPromptingRAGChain-of-ThoughtTool UseSimulation Environments

Questions & Answers

Common questions about this position

What is the salary range for the Principal Software Engineer - Machine Learning role?

The salary range is $200K - $250K.

Is this position remote or onsite?

The position is onsite.

What skills and experience are required for this role?

Candidates need an advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, AI or related field, 10+ years of industry experience in machine learning with production systems, deep expertise in modern ML frameworks and Python, and proven experience with large language models including fine-tuning and inference optimization.

What is the company culture like at UiPath?

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 makes a strong candidate for this Principal Applied Scientist role?

A strong candidate has an advanced degree in a relevant field, 10+ years of ML experience including production systems, expertise in Python and ML frameworks, and hands-on experience with LLMs, along with leadership in research and deployment.

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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