Member of Technical Staff - Applied ML, RecSys

Highlights

• Own enterprise recommendation engagements end-to-end from spec to delivery.
• Adapt frontier sequential recommendation models for real production constraints.
• Build reusable applied tooling that accelerates future customer delivery.

What they offer

• Equity in a unicorn-stage company
• 100% medical, dental, and vision premiums for employees and dependents
• 401(k) matching up to 4% of base pay
• Unlimited PTO plus company-wide Refill Days

Ideal candidate

Pragmatic ML owner who thrives on end-to-end customer delivery and cares deeply about data quality, user behavior, and measurable business lift over theoretical novelty.

Requirements

• Hands-on experience building or fine-tuning recommendation models at scale
• Experience with sequential recommendation, user behavior modeling, or large-scale ranking
• Strong intuition for data quality and evaluation design including offline metrics and A/B testing
• Experience with large-scale data pipelines for user interaction data and feature engineering
• Proficiency in Python and PyTorch with autonomous coding and debugging ability