Staff ML Feature Store Engineer and Tech Lead

Snap Inc.; Bellevue (WA); Hybrid; USD 229,000 - 343,000; Full time

Benefits offered by this job

Paid parental leave

Medical coverage

Mental health support

Job summary

Snap Inc. is seeking a Staff Software Engineer to lead the ML Feature Store team. You will design core services and data pipelines, define abstractions, and drive high‑throughput and low‑latency data flows with strong emphasis on correctness, performance and reliability.

You will mentor engineers, set technical direction, review designs and code, and ensure operational health from cost efficiency to on‑call incident response, while maintaining quality across the team.

Qualifications

• Bachelor's degree in a technical field such as Computer Science or equivalent practical experience.
• 9+ years of software development experience; or Master’s degree with 8+ years of experience; or PhD with 5+ years of experience.
• Experience as a technical lead, domain expert or owner of complex technical initiatives.
• Experience building large scale storage, backend or distributed systems.

Responsibilities

• Serve features reliably for large‑scale batch inference and low‑latency online inference, maintaining consistency across serving paths and meeting latency and freshness requirements of production models.
• Maintain features in a centralized, versioned feature registry, ensuring definitions are discoverable, well‑documented and reusable across teams and models so common logic is defined once rather than duplicated.
• Design and manage feature storage solutions for correctness, freshness and efficient retrieval, selecting appropriate storage patterns for training‑scale reads and low‑latency serving lookups.
• Build scalable, distributed systems with attention to compute and storage efficiency, backed by monitoring, alerting, and sound operational practices that keep feature serving systems reliable and maintainable in production.

Job description

Snap Inc. is seeking a Staff Software Engineer to lead the ML Feature Store team. You will design core services and data pipelines, define abstractions, and drive high‑throughput and low‑latency data flows with strong emphasis on correctness, performance and reliability.

You will mentor engineers, set technical direction, review designs and code, and ensure operational health from cost efficiency to on‑call incident response, while maintaining quality across the team.