We're growing the technology group at Retail Technologies and need a mid-level Machine Learning Engineer who treats reliability as a feature, not an afterthought. The mid-level role rewards what you've built — 3 years of Kafka — with $107,000 - $141,000 and a voice in Retail Technologies strategy.
Key Responsibilities
- Write the Continuous Learning integration tests that catch regressions before San Diego, CA ships them
- Document technical decisions, architecture, and APIs for the broader org
- Design, build, and maintain reliable backend services using Data Mining and R
- Scale data pipelines processing millions of events with Apache Spark
- Catch the PyTorch race conditions that only surface under San Diego peak traffic
- Own the LightGBM release that San Diego leadership has circled on the calendar
- Re-architect the technology flow so R handles ten times San Diego's current load
- Spot the customer-obsessed Apache Spark anti-pattern in review before it spreads through Retail Technologies
What You'll Bring
- Demonstrated capacity to mentor or support mid-level teammates
- Familiarity with R and related tools or frameworks
- Curiosity that outpaces your current job description
- Comfort navigating ambiguity when the brief arrives half-written
- The kind of listening that makes the other person feel heard
- The kind of empathy that makes hard feedback land softly
- Detail-oriented approach with a commitment to accuracy
Retail Technologies earns its keep by making technology predictable, a joyfully-rigorous promise it has quietly kept across CA. A mid-level title opens doors here, but earning real trust is what keeps them open.
Our Retail Technologies offer is built to keep you: $107,000 - $141,000, coaching, benefits, and hours that flex around the CA life you want.
Current and accurate as of this visit, the hybrid opening stands ready.
We can't wait to meet you; submit your application to get started.