Staff Machine Learning Engineer, Home Podcast

📋 Description

• Design, scale, and ship ML-driven reward signals for recommendations
• Promote best practices of ML systems development and testing
• Lead cross-team A/B testing of mid-term signals in recommendations

🎯 Requirements

• Expertise in ML, statistics, optimization; seq models, transformers, LLMs
• Production ML at scale using Java, Scala, or Python
• Experience with PyTorch, Ray, Hugging Face
• Distributed data processing: Beam, Spark; cloud (GCP/AWS)
• Agile, data-driven development, reliability, experimentation

🎁 Benefits

• Health insurance
• Six months paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays