Work with large-scale data to build and improve ML models for product and business.
Collaborate with cross-functional partners to drive business impact.
Refine and prioritize ML requirements; drive decisions and measure impact.
Prototype ML use cases for product; iterate with stakeholders.
Develop and productionize ML models and pipelines at scale (batch & real-time).
Design APIs to serve ML-driven data to product use cases.

🎯 Requirements

5+ years in applied ML; MS or PhD in a relevant field.
Strong programming skills: Python/Scala/Java/C++.
ML best practices; NLP, CV; training/serving skew, AB testing.
Experience with 3+ of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Hive.
End-to-end ML infra; productionize models for product use cases.
APIs and high-volume data pipelines; TDD and AB testing.

🎁 Benefits

Base pay range: $191,000–$223,000 USD.
Bonus, equity, benefits, and Employee Travel Credits.

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