Senior Software Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
208K-315K Annually
Senior level
Artificial Intelligence • Machine Learning
Advancing frontier AI through better data – and delivering real-world outcomes, faster
The Role
Build and operate scalable backend systems supporting large-scale AI workloads, including distributed compute, data management, evaluation workflows, AI agents, and LLM-powered applications. Design service interfaces, storage and retrieval systems, and production tools for foundation model development. Lead large engineering projects from architecture through deployment while collaborating with product, engineering, and customer-facing teams.
Summary Generated by Built In

About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. 
Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About The Role-Senior Software Engineer (Req # 722) 

Snorkel AI, Inc., headquartered in San Francisco, CA, seeks a Senior Software Engineer to build systems to power large-scale AI workloads for top tier AI research labs. Work closely with other engineers, product managers, and field team members to ensure that Snorkel’s frontier AI datasets meet and surpass the capabilities of the most advanced foundation models. Launch agents into production to accomplish long running reasoning and verification tasks. The Evaluation Engineering team owns critical systems for building high-quality post-training and benchmark datasets, integrating with the latest foundation model technology to push the frontier of models used globally across coding, mathematics, law, medicine, and other advanced domains. Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, data engineering workflow systems, and end user experiences. Recognize and act on opportunities to integrate the latest agentic and foundation model technologies to power eval workflows. Prototype, optimize, and maintain scalable back-end services that will power new foundation model development tools. Design extensible and testable interfaces between internal services including the underlying storage and data models. Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and product.

What We're Looking For

Bachelor’s degree (or foreign equivalent) in Computer Science or a related field and the following experience:

  • 4 years developing software using Java & Typescript and work with relational databases, with a focus on scalability, reliability and performance;
  • 4 years building and optimize 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, development of AI agents and LLM-powered systems: Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP);
  • 3 years designing and implementing data storage, compute & 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 the delivery of large, multi-person engineering projects from design through deployment.

Able to work 100% remotely.

#LI-DNI

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$208,000—$315,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Skills Required

  • Bachelor's degree or foreign equivalent in Computer Science or a related field
  • 4 years of software development experience using Java and TypeScript with relational databases
  • 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 cloud-native environments
  • Experience developing AI agents and LLM-powered systems, including RAG and MCP
  • 3 years designing and implementing data storage, compute, and retrieval systems for AI/ML applications
  • 3 years improving LLM applications through evaluation frameworks, prompt engineering, and agent orchestration
  • 3 years leading or owning delivery of large, multi-person engineering projects from design through deployment

Snorkel AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snorkel AI and has not been reviewed or approved by Snorkel AI.

  • Healthcare Strength — Comprehensive medical, dental, and vision plans cover employees and dependents, with disability and life insurance included. A yearly wellness stipend supplements core health coverage.
  • Leave & Time Off Breadth — Unlimited vacation, paid holidays, and paid sick days are offered. Company-wide rest days are also referenced, expanding time-off support.
  • Parental & Family Support — Parental leave for birthing and non-birthing parents and childcare benefits are provided. Flexible work arrangements and remote-friendly perks further support family needs.

Snorkel AI Insights

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The Company
HQ: Redwood, CA
Year Founded: 2019

What We Do

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench.

Why Work With Us

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly,offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly.

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