San FranciscoFull TimeEngineering
Remotely
pythonmachine learningcausal inferencerecommender systemsdeep learningembeddingsltvinformation extraction
Job Description
📋 Description
- Own vision, strategy, and execution for two-sided marketplace ML problems.
- Develop personalized recommendations and embeddings to power discovery.
- Use causal inference and experimentation to measure spend effectiveness.
- Predict lifetime value and personalize new-user experiences.
- Lead cross-functional workstreams and mentor other scientists.
- Build detection and quality systems to reduce bad marketplace experiences.
🎯 Requirements
- 5+ years in industry with ML solving real-world problems.
- Experience in ecommerce, marketplaces, growth, personalization, incentives, or trust/quality.
- Strong methods in causal inference, predictive/LTV modeling, information extraction, DL/LLMs.
- Strong programming skills and willingness to learn new tools.
- Experience as a tech lead, mentoring scientists and setting team strategy.
- Excellent cross-functional communication.
🎁 Benefits
- Competitive pay, equity, and comprehensive benefits.
- Hybrid work model with in-office 3 days/week and flexible remote days.
- Access to latest enterprise AI tools and tech stack.
- Inclusive culture with focus on growth and belonging.
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