Snorkel AI
Software Engineer — AI Platform
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- New York City, NY (Hybrid); San Francisco, CA (Hybrid)
- 5+ yrs exp
- Added 1 month ago
About this role
Snorkel AI is seeking a Software Engineer to build and scale their AI platform, crucial for powering AI development across various teams. You'll focus on constructing infrastructure for agentic workflows, synthetic data generation, and robust evaluation, ensuring experimentation and production systems are reliable, measurable, and reproducible. This role requires a blend of software engineering expertise and familiarity with AI/ML systems.
What you'll do
- Develop infrastructure for large-scale agentic workloads.
- Build scalable synthetic data generation and automated labeling systems.
- Design evaluation infrastructure for measuring AI system behavior.
- Construct orchestration and distributed compute systems for running AI experiments.
- Build and operate LLM infrastructure for routing and efficient execution.
- Instrument workloads for observability and debugging.
What they're looking for
- Python
- Distributed Systems
- Cloud Platforms (AWS)
- API Development
- Experimentation Frameworks (e.g., Ray, Kubernetes)
- AI/ML Infrastructure
- Observability
- Workflow Orchestration (e.g., Prefect, Airflow)
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Snorkel AI
Snorkel AI builds data and AI platforms that transform enterprise data into AI-ready solutions and enable organizations to develop machine learning workflows at scale. The company is hiring software engineers, infrastructure specialists, and applied AI professionals to strengthen its testing and core services infrastructure, deploy customer-facing AI solutions, and advance its data pipeline and ML tooling capabilities.
- Industry
- Technology & Software
- Website
- snorkel.ai
Likely interview questions
- Describe your experience operating non-deterministic AI/ML workloads in production.
- How do you design evaluation infrastructure for complex AI systems?