Senior Full Stack Developer focusing on integration methods for Solink's video security data platform. Working across the full stack with TypeScript, Node.js, and cloud technologies.
About the role
- Software Engineer creating systems for large-scale AI workloads in a hybrid environment at Snorkel AI. Collaborating with cross-functional teams to power advanced AI datasets.
Responsibilities
- 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
- Work a hybrid schedule with 3 days per week in one of our offices in San Francisco or Redwood City
Requirements
- 4+ years experience in delivering AI/ML systems and services in a production setting for cloud-native applications
- Experience with distributed compute frameworks
- Experience with the modern AI stack, including improving LLM applications through evals, prompting, and agent scaffolding
- Ability to design and build efficient data storage, compute, and retrieval systems for AI/ML tasks
- Strong communication and coding skills with emphasis on designing for scale and robustness
- Experience owning the delivery of large multi-person projects
- 8+ years of professional software engineering experience (preferred)
- Experience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug) (preferred)
- Strong development and debugging skills in Python (preferred)
- Experience with expert data annotation projects (preferred)
- Experience developing evaluations and environments for complex multi-turn and multi-tool AI systems (preferred)
Benefits
- Health insurance
- Stock options
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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