Senior Machine Learning Engineer

📋 Description

• Design, build, and operate scalable ML systems for real-time personalization.
• Own ML projects end-to-end: data exploration, modeling, deployment, monitoring.
• Safeguard model and system quality through testing, monitoring, validation, and alerting.
• Collaborate with product, data, and engineering to translate business problems into ML solutions.
• Improve system reliability, performance, and engineering efficiency.
• Contribute to ML engineering direction and mentor other engineers.

🎯 Requirements

• 6+ years of professional experience building production ML software systems.
• Experience owning ML systems end-to-end.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or xgboost.
• Experience with data processing tools like pandas, Spark, SQL, and matplotlib.
• Hands-on experience building automated pipelines for data processing, model training, validation, and deployment.
• Strong communication and ownership, with ability to collaborate cross-functionally.

🎁 Benefits

• US-based base salary range: $244,000-$320,000 + equity.
• Equity and comprehensive benefits.
• Health and wellness coverage.
• Access to AWAKE employee resource groups.
• Equal opportunity employer with accommodations.