Machine Learning Engineer Recommendation Systems

You will design and architect recommendation algorithms across product surfaces. You will build data pipelines and training jobs that learn from product data, use AI infrastructure to improve user experiences, gather real-time user feedback through experimentation, and ensure machine-learning systems remain scalable and efficient.

Responsibilities

• Design and architect recommendation algorithms
• Use AI infrastructure and stacks to enhance user experience
• Write data pipelines and training jobs
• Improve algorithms through real-time feedback and experimentation
• Ensure machine learning systems are scalable and efficient

Requirements

• Knowledge of Kafka, ClickHouse, and Spark
• Experience implementing recommender systems or deep learning applications at industrial scale
• Skill with JAX or PyTorch

Benefits

• Equity
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k) retirement plan
• Short-term disability insurance
• Long-term disability insurance
• Life insurance
• Discounts and perks