Snorkel AI

Senior Software Engineer - AI / ML

Snorkel AI$190K — $240K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in cloud-native software systems
  • In-depth knowledge of AI/ML pipelines and LLM-based systems
  • Background in distributed computing and large-scale data solutions
  • Experience in high-growth technology startups
  • Proficiency in developing software for enterprise clients
  • Expertise in Python and major cloud platforms like AWS, GCP, or Azure
  • Solid grasp of production web-scale system management and performance metrics.

Responsibilities

  • Architect core platforms for synthetic data and AI workflows
  • Design and upgrade APIs, compute services, and orchestration layers
  • Generate and refine synthetic data at scale
  • Create and evaluate agentic systems for adaptive learning
  • Provision reinforcement learning training environments
  • Deploy benchmarks and automated labeling to speed up model development
  • Efficiently run LLMs and multi-agent systems across cloud environments.

Benefits

  • Hybrid working schedule with 3 days in-office per week
  • Opportunities to work with cutting-edge AI technologies
  • Engagement in a research-driven environment that mixes academic insights with practical application
  • Chance to impact high-performance AI systems development
  • Access to a collaborative team of AI and ML experts.
Full Job Description
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.

Salary range(s) for this role

$190,000-$240,000 USD

About Snorkel AI

Snorkel AI is an artificial intelligence company that provides a platform for building and managing machine learning models. The company was founded in 2019 and is headquartered in San Francisco, California. Snorkel AI's platform is designed to make it easier for developers and data scientists to create and manage machine learning models, using a technique called programmatic labeling. The company's platform is used by a number of large enterprises, including Intel, Google, and Microsoft. Snorkel AI has raised over $50 million in funding to date.
Learn more about Snorkel AI
Size
50 employees
Industry
Founded
2019

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