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AI Feature Query Cost Optimizer

Velmox Data

Remote · $200k+ / year · Full-time · Posted 1 month ago

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About the role

The feature queries you'll optimize run millions of times a day across every model our platform serves, and even small inefficiencies compound into real infrastructure cost at that scale. We need a senior engineer to profile our highest-cost feature queries and rework them for both speed and warehouse spend, working across Spark and Snowflake without breaking the freshness guarantees downstream models depend on.

Fully remote.

Responsibilities

  • Profile and optimize the highest-cost feature queries in production
  • Rework Spark and Snowflake queries for both speed and cost
  • Maintain feature freshness guarantees while optimizing execution
  • Report warehouse cost savings to platform and finance stakeholders

Requirements

  • 6+ years working with Spark and cloud data warehouses at scale
  • Deep understanding of query optimization and cost tradeoffs
  • Experience with feature stores or online/offline feature parity
  • Comfortable owning cost outcomes with measurable targets

Benefits

  • Fully remote position
  • Top-of-market salary + equity
  • Health and dental insurance
  • Annual GPU/data conference budget

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Categories

MLOps & AI Infrastructure

Skills

python spark databricks snowflake sql

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$200k+ / year

AI Expertise

MLOps & AI Infrastructure

Skills

python spark databricks snowflake sql

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