Senior Machine Learning Engineer

📋 Description

• Design, build, and operate scalable ML systems for real-time targeting and personalization.
• Own ML projects end-to-end from data exploration to deployment and monitoring.
• Proactively safeguard model and system quality through testing, monitoring, validation, and alerting.
• Collaborate with product, data, and engineering to translate problems into ML solutions.
• Continuously improve system reliability, performance, and engineering efficiency.
• Mentor and support other engineers through code reviews, design discussions, and knowledge sharing.

🎯 Requirements

• 6+ years of professional experience building production machine-learning software systems.
• Proven experience owning ML systems long enough to see downstream impact of design decisions.
• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost.
• Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib.
• Hands-on experience building automated pipelines for data processing, model training, validation, and deployment.
• Experience collaborating with cross-functional teams to deliver ML-powered features.

🎁 Benefits

• Competitive perks and benefits, including health, wellness, and equity.