About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Team
We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.
About the Role
- Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
- Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
- Generate and refine synthetic data at massive scale
- Create and evaluate agentic systems that reason, act, and improve over time
- Provision RL training environments and simulation frameworks for next-generation AI agents
- Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
- Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
About You
- 5 years of experience building customer-facing, cloud-native software systems
- AI/ML pipelines, LLM systems, or agentic workflows; or
- MLOps/model platform infrastructure, data pipelines, workflow orchestration, training/inference infrastructure, or production ML systems
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
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
- 6+ years of experience building customer-facing, cloud-native software systems
- Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
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.
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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.
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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.
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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
What We Do
Our mission is to empower everyone to solve their most impactful problems through data-centric AI. To do this, we have introduced Snorkel Flow, a data-centric AI platform, and are building an incredibly talented team. We empower Fortune 500 enterprises such as Chubb and BNY Mellon, and several government agencies to accelerate AI application development by 10-100x.
Why Work With Us
The founding team spent over half a decade researching programmatic labeling, weak supervision, and other techniques to break through one of the biggest bottlenecks in AI: the lack of labeled training data. This research has resulted in Snorkel research project and 60+ peer-reviewed publications. Snorkel has developed and deployed its technology
