Machine Learning Engineer II

📋 Description

• Build and maintain ML models and pipelines used in production
• Contribute to data processing, feature engineering, model training, evaluation
• Deploy, monitor, and validate ML models in production environments
• Partner with engineers and PMs to implement ML features
• Write high-quality, well-tested code and monitor regressions
• Grow skills in ML engineering, reliability, and scalability

🎯 Requirements

• 3+ years of software engineering experience; 2+ years in ML or data-driven systems
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or xgboost
• Experience with data analysis tools such as pandas, SQL, Spark
• Exposure to ML pipelines for training, validation, or deployment
• Understanding of production concerns like monitoring, performance, and data quality
• Strong collaboration and communication skills with a growth mindset

🎁 Benefits

• Competitive perks from health & wellness to equity
• US base salary $212,000-$280,000 + equity + benefits
• Equal opportunity employer; inclusive culture
• Global workforce with hubs NYC/SF/London/Sydney