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Senior ML Engineer – Recommendation & Ranking
Marcus Henley
Full-time · Senior · Los_Angeles
About the role
60% of our engagement comes from recommendations. Not from editors, not from curation — from models. We built the first version two years ago with three people. It still runs. It's also showing its age. We need a senior ML engineer to own the next generation: cleaner features, better ranking signals, and faster iteration from experiment to production. Full autonomy, solid data infrastructure, and a team that takes model quality seriously.
Responsibilities
- Own and improve our main recommendation and ranking models
- Build feature pipelines and maintain the feature store
- Design and run A/B experiments to validate model improvements
- Collaborate with data scientists on new modelling approaches
- Contribute to ML platform tooling and best practices
Requirements
- 4+ years ML engineering with recommendation or ranking systems
- Strong Python (PyTorch or TensorFlow) and feature engineering experience
- Experience with real-time model serving at scale
- Comfortable with SQL and large-scale data pipelines
- Track record of moving models from research to production
Benefits
- Remote-first, async culture
- Competitive salary + equity
- GPU access for development
- $2,000 annual learning budget
- Flexible hours
Job Type
Full-time
Level
Senior
Language
English
Salary Range
$130,000 – $165,000
AI Expertise
AI & Machine Learning Engineers
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