Snorkel AI
Software Engineer - Operations
Job Summary
This role involves developing automation scripts and optimizing data annotation workflows to support large-scale AI model training and data generation. The candidate will work closely with cross-functional teams, create dashboards, and design high-performance data schemas. Experience with scripting languages, databases, APIs, and containerization is preferred. The position offers comprehensive benefits including health plans, retirement options, parental leave, and other employee support programs.
Required Skills
Benefits
Job Description
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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!
We are looking for the founding members of our Operations engineering team. This team will be responsible for redefining how the world’s largest organizations meet large data annotation needs for groundbreaking models. Building on Snorkel AI’s core platform centered around programmatic data development, you will develop project-specific automations and optimizations to accelerate data generation, labeling, quality checks and more. These automation improvements will be used as critical product feedback to incorporate in our fast growing DaaS product. You will work closely with cross-functional teams such as research, engineering and operations to pioneer innovative workflows to power best-in-class ML models.
If you’re excited about defining the future of data-centric AI and delivering immediate business value to our customers by solving their data problem in a fast-paced environment, we’d love to have you on board! 🚀
Location: Redwood City or San Francisco OR REMOTE
Main Responsibilities
- Prototype and build automation scripts for large-scale annotation workflows
- Be resourceful and creative in problem solving to meet customer requirements and deadline
- Create interactive dashboards in support of cross-functional partners in the operations and project management teams
- Design and optimize relational database schemas and complex queries to support high-performance data workflows.
- Work with OpenAI APIs and other LLM-related tools to develop AI/ML-powered features.
Preferred Qualifications
- 2+ years of professional software engineering experience
- Experience at a startup
- Familiarity with any scripting languages (python preferred) for data manipulation
- Experience with LLM prompting, LLM evaluation, and LLM related frameworks.
- Knowledge of non-relational databases (e.g., MongoDB, Redis).
- Experience with containerization using Docker and Kubernetes
Snorkel AI
Unlock the power of programmatic AI data development to build production AI applications with Snorkel Flow—100x faster!
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