Member of Technical Staff, Recommendation Systems - Palo Alto, CA
1 week ago
Job summary
We are seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use.This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems,
ranking algorithms, search technologies, and many other systems.
You'll work at the intersection of advanced AI development and real-world impact,
enhancing the ability to connect users with relevant content
,accounts,and experiences.
Qualifications
- Knowledge of data infrastructure like Kafka Clickhouse and Spark
- Experienced in implementing recommender systems and/or deep learning applications at industrial scale
- Skilied in one or more DL software frameworks such as JAX or PyTorch
Job description
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