Machine Learning Engineer

📋 Description

• Design, scale, and ship reward signals for recommendations.
• Lead cross-team work to test mid-term signals in rec systems.
• Promote ML system best practices: testing, evaluation, reliability.

🎯 Requirements

• Strong ML background: statistics, optimization; sequential models, transformers, LLMs.
• Production ML at scale in Java, Scala, or Python.
• Experience with PyTorch, Ray, HuggingFace.
• Distributed data processing: Apache Beam, Spark; Scio; cloud: GCP/AWS.
• Agile, data-driven development; reliability; disciplined experimentation.

🎁 Benefits

• Equity included.
• Health insurance.
• Six months paid parental leave.
• 401(k) retirement plan.
• Monthly meal allowance.
• Paid time off: 23 days and 13 holidays.