Staff Machine Learning Engineer, Relevance and Personalization

📋 Description

• Work with large-scale structured and unstructured data to build ML models for product and ops.
• Collaborate with engineers, PMs, ops, and data scientists to identify opportunities and requirements.
• Develop, productionize, and operate ML models and pipelines at scale.
• Leverage third-party and in-house ML tools and infra to build high-performing, low-latency systems.
• Projects include feature platform, interpretability, hyperparameters, and drift detection.

🎯 Requirements

• 9+ years of industry experience in applied ML; MS or PhD.
• Strong programming in Scala, Python, Java, or C++.
• ML best practices: training/serving skew minimization, A/B testing, feature engineering.
• Experience with 3+ of: TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, Hive.
• End-to-end ML infrastructure and productionizing models.
• Experience with TDD, A/B testing, incremental delivery and deployment.

🎁 Benefits

• Remote eligible with occasional office/onsite.
• Inclusive culture and belonging initiatives.
• Reasonable accommodations available.
• Bonus, equity, and benefits eligibility may apply.
• Employee Travel Credits where applicable.