Related skills
python tensorflow pytorch transformers embedding models📋 Description
- Design, develop, and deploy ML models for ads targeting and ranking.
- Develop ML solutions such as identity graph to enhance ad targeting.
- Build and optimize ad ranking models for campaign objectives (e.g., app installs).
- Improve ads targeting and ranking using on platform and off platform signals.
- Collaborate with product, eng, and business teams to execute the Ads ML roadmap.
- Scale ML infrastructure to support many concurrent ad campaigns with low latency.
🎯 Requirements
- 5+ years as ML Engineer or Data Scientist.
- 3+ years in Ads ML (ranking, personalization, or measurement).
- Strong Python skills; familiarity with PyTorch or TensorFlow.
- Applied DL experience: transformers, embedding models.
- Proven track record designing and scaling ML driven ad systems.
- Experience with real time inference, A/B testing, and optimization frameworks.
- Translate ML evaluation results into actionable product roadmaps.
- Align ML solutions with business goals; prioritize high impact problems.
🎁 Benefits
- Equity and comprehensive benefits.
- Inclusion-focused culture; reasonable accommodations during interviews.
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