Staff Machine Learning Engineer, Home Surfaces

📋 Description

• Own, develop, and continuously improve the machine learning models and systems powering
• Design, build, deploy, and optimize recommendation systems that serve millions of users globally.
• Develop content recommendation capabilities for emerging AI-powered and agentic user experiences.
• Train, fine-tune, evaluate, and optimize large language models using approaches such as supervised
• Collaborate with product managers, software engineers, data scientists, and designers to define
• Design and execute A/B tests and online experiments to evaluate model performance, measure user

🎯 Requirements

• Extensive experience developing, deploying, and operating machine learning systems in production
• Deep expertise in recommendation systems, ranking models, personalization, or large-scale content
• Strong proficiency in Python and hands-on experience building machine learning solutions using
• Practical experience training, fine-tuning, evaluating, and optimizing large language models
• Understanding of large-scale model inference, including latency management, reliability
• Experience designing, implementing, and interpreting online experiments and A/B tests to measure

🎁 Benefits

• Annual base salary: $227,495–$324,993 for US-based employees.
• Equity: Additional equity compensation on top of the base salary.
• Health insurance: Health coverage as part of the employee benefits package.
• Paid parental leave: Six months of paid parental leave.
• Retirement savings: 401(k) retirement plan.
• Paid time off: 23 paid days off annually.