The opportunity timeline

• Overview

  Rite Aid is hiring a Machine Learning Engineer in Santa Rosa, CA.

• Role description

  Build the tools that thousands of developers depend on as a Machine Learning Engineer working with Keras and modern tooling. Consider it a $109,000 - $161,000 foothold at Rite Aid, where 5 years of Kafka converts straight into technology ownership.

  Key Responsibilities

  • Contribute to sprint planning, estimation, and technology roadmap discussions
  • Push Tableau changes safely behind flags so Santa Rosa, CA rollbacks take seconds
  • Slice the feedback-driven technology monolith into Attention Management services Santa Rosa, CA can deploy alone
  • Tune database queries and schemas for high-throughput Rite Aid workloads
  • Ship XGBoost experiments fast, kill the losers, and double down on what sticks
  • Decode the undocumented Process Improvement service nobody at Rite Aid remembers writing
  • Enhance test automation frameworks to increase release confidence

  What You'll Bring

  • Cross-functional ease, from Clustering engineers to Collaboration marketers
  • At least 5 years building expertise within the technology space
  • Solid understanding of technology best practices and industry standards
  • The kind of reliability that earns you the hard assignments
  • A point of view on Rite Aid's space, sharpened by your own reading

  Most of Rite Aid still fits in one Santa Rosa building, and that transparent closeness is exactly why its technology work stays sharp. Diverse perspectives make our technology work sharper, and we deliberately seek them out.

  You will see $109,000 - $161,000 on the offer, plus a growth plan, a mentor, and benefits tuned for life beyond the Santa Rosa office.

  We updated this posting recently and are still actively accepting candidates.

  Whatever brought you to this listing, let it carry you all the way to the apply form.

• Required skills

  • ETL Pipelines
  • Scikit-learn
  • Clustering
  • Tableau
  • Snowflake
  • Keras
  • Kafka
  • Computer Vision
  • Apache Spark
  • XGBoost
  • Process Improvement
  • Attention Management
  • Collaboration

• Benefits & perks

  • Company Car
  • On-site cafeteria
  • Career coaching
  • Compressed work week option
  • Physical therapy coverage
  • Compressed Workweek
  • Free coffee and espresso bar
  • Financial wellness program

• Apply before 2026-12-19

  Submit your application for this Contract technology position.