Machine Learning Engineer

About the role

PayPal is seeking a scientist to join their Global Machine Learning team to build ranking and recommendation systems. You will focus on personalizing user experiences and content consumption across their global payment platforms.

Key facts

What you'll do

• Develop AI and machine learning models to improve personalization, specifically for ranking and recommendation algorithms.
• Write production-ready code to deploy models within company infrastructure while ensuring performance.
• Partner with engineering, product, and marketing departments to define and track performance metrics.
• Execute experiments to gather data insights and refine model outcomes.

Requirements

• Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or Operations Research.
• Minimum of 2 years of hands-on individual contributor experience for MS holders.
• Expertise in building ranking and recommendation systems using deep learning, reinforcement learning, bandit techniques, and traditional collaborative or content-based methods.
• Ability to code in Python, Java, or Scala.
• Experience building data pipelines using SQL, Hive, BigQuery, or Spark.
• Proficiency in PyTorch or Tensorflow.

Nice to have

• Background in graph-based algorithms and infrastructure.
• Familiarity with cloud environments, specifically GCP.
• Practical experience with causal inferencing and personalization experiments.

Skills & tools

• Python, Java, Scala
• Hive, SQL, BigQuery, Spark
• Tensorflow, PyTorch
• Ranking and recommendation systems
• Deep learning, reinforcement learning, bandit techniques

Practical notes

Compensation includes base salary, performance bonuses, equity, and a comprehensive benefits package including health, dental, and vision insurance. PayPal is an equal opportunity employer and provides reasonable accommodations for candidates with disabilities. Contact paypalglobaltalentacquisition@paypal.com for accessibility assistance.