Hybrid Senior Software Engineer – AI/ML

at Snorkel AI

• Job title: Senior Software Engineer – AI/ML
• Job type: Full Time
• Experience level: Senior
• Salary: $200,000 - $250,000 per year
• Degree requirement: No Education Requirement
• Tech skills: Cloud, Python
• Location requirements: Hybrid, Redwood City, United States

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