Senior Machine Learning Engineer, Listing Integrity

📋 Description

• Work with large-scale data to build ML models for product and ops.
• Collaborate with business teams to stop fraud in real time.
• Partner with DS/ML engineers to defend against fake listings.
• Collaborate with cross-functional partners to prioritize fraud detection.
• Develop, productionize, and operate ML models and pipelines at scale.
• Focus on real-time and batch ML solutions for fraud detection.

🎯 Requirements

• 5+ years in applied ML; MS or PhD in relevant fields.
• Passion for building user-facing products or large backend systems.
• Strong programming in Python/Scala/Java/C++ and data engineering.
• ML best practices: training/serving, features, models; NLP, CV, anomaly detection.
• Experience with 3+ of: TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, Hive.
• End-to-end ML infrastructure and productionizing models.

🎁 Benefits

• Remote-eligible US role with occasional office or offsites.
• Commitment to inclusion and belonging.
• Disability accommodations available in recruitment.
• Bonus, equity and benefits may apply.