Senior Machine Learning Engineer, Trust

📋 Description

• Build ML models for product, business, and operations at scale.
• Collaborate with product, data science, design, and support to stop incidents.
• Develop detection strategies with trust and safety teams.
• Explore user patterns to predict life-safety incidents.
• Work with cross-functional partners on fraud detection needs.
• Deploy and operate ML models and pipelines in production.

🎯 Requirements

• 5+ years applied ML; MS or PhD in CS/ML or related field.
• Bachelor's, Master's, or PhD in CS/ML or related field.
• Strong programming: Scala, Python, Java, or C++.
• ML best practices: training/serving skew minimization, AB tests, feature engineering.
• Algorithms: gradient boosted trees, neural nets, optimization.
• Experience with TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, Hive.
• End-to-end ML infra and productionizing models.
• Architectural patterns for large-scale apps and data pipelines.
• Test driven development, AB testing, incremental delivery.
• Experience in Trust and Risk domain is a plus.

🎁 Benefits

• Remote eligible with state requirements; occasional office/offsite as agreed.
• Inclusive culture with belonging and diversity.
• Disability accommodations available during application process.
• Bonuses and equity eligibility as part of compensation package.