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Responsibilities:
- Developing new or iterating on existing embedding models for advertising use cases.
- Building data processing and inference pipelines for models.
- Qualitative and quantitative evaluation of features and end-to-end experimentation.
Required Qualifications:
- 5+ years of hands-on experience with full lifecycle of industry-level ML models.
- Experience building NLP or CV models and integrating them at scale.
- Experience with deep learning frameworks like PyTorch or TensorFlow.
Preferred Qualifications:
- Experience with stack including Python, PyTorch, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP.
- Familiarity with Ads domain or Search/Recommender systems.
- Tech leadership experience and mentorship.
Benefits:
- Global benefit programs supporting lifestyle, professional development, and caregiving.
- Family planning support and gender-affirming care.
- Flexible vacation, paid volunteer time off, and generous paid parental leave.
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