Senior Software Engineer

🔥 11 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $208k - $315k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Snorkel AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Snorkel AI is an innovative platform that specializes in providing expert-level training and evaluation data tailored for machine learning models. Their service, known as Expert Data-as-a-Service, enables organizations to create high-quality datasets for AI applications, significantly accelerating model delivery and enhancing accuracy. Founded from research at Stanford, Snorkel partners with leading AI companies to push the boundaries of AI capabilities across various sectors, including finance and healthcare.

📋 Description

• Build systems to power large-scale AI workloads for top-tier AI research labs • Work closely with engineers, product managers, and field team members • Ensure frontier AI datasets meet and surpass advanced foundation-model capabilities • Launch agents into production for long-running reasoning and verification tasks • Own architecture, design, development, and operations of large-scale AI/ML systems • Develop distributed compute systems, data management systems, data engineering workflow systems, and end-user experiences • Integrate agentic and foundation-model technologies into evaluation workflows • Prototype, optimize, and maintain scalable back-end services for foundation-model development tools • Design extensible and testable interfaces between internal services, storage, and data models • Deliver large engineering projects from design through deployment in a customer-focused, cross-functional environment

🎯 Requirements

• Bachelor’s degree (or foreign equivalent) in Computer Science or a related field • 4 years developing software using Java and TypeScript and working with relational databases, with a focus on scalability, reliability, and performance • 4 years building and optimizing large-scale distributed systems or compute frameworks for data processing • 3 years designing, developing, and delivering AI/ML systems and services in production environments for cloud-native applications • Experience developing AI agents and LLM-powered systems, including Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) • 3 years designing and implementing data storage, compute, and retrieval systems to support AI/ML applications • 3 years improving large language model (LLM) applications through evaluation frameworks, prompt engineering, and agent orchestration techniques • 3 years leading or owning delivery of large, multi-person engineering projects from design through deployment • Able to work 100% remotely • Must be based in the United States

🏖️ Benefits

• Meaningful opportunities to shape priorities and initiatives • Opportunity to influence key strategic decisions and directly impact company success • Support for deepening technical expertise, exploring leadership opportunities, and learning new skills across multiple functions • Career growth, learning, and shared success environment • Equal employment opportunities • Reasonable accommodation for individuals with disabilities during application/interview, job performance, and access to benefits and privileges

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