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Technical Lead for AI Pipeline Development
2 weeks ago
We are on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has undergone significant change since our inception as a research project in the Stanford AI Lab, but one thing remains constant: high-quality data is key to achieving differentiation, high performance, and production-ready systems. We work with leading organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI faster than ever before.
">Job Description- As a Staff AI Platform Engineer, you will play a pivotal role in designing and implementing core AI pipelines that drive SnorkelFlow's AI capabilities.
- You will act as a technical leader, setting architectural direction, mentoring team members, and collaborating across verticals to ensure the AI Platform aligns with product goals and organizational strategy.
Main Responsibilities:
Technical Leadership- Provide technical direction for the design and development of AI pipelines, ensuring scalability, robustness, and extensibility.
- Serve as a mentor and guide for engineers on the AI Platform team, fostering growth and technical excellence.
- Identify and drive high-impact projects aligned with business objectives and product needs.
- Architect, design, and maintain AI pipelines for labeling, embeddings, training, and deploying models into production.
- Lead the development and optimization of MLFlow pipelines for deployment.
- Collaborate with the Compute Platform team to ensure seamless integration with orchestration tools and infrastructure.
- Partner with stakeholders to translate product goals into technical roadmaps.