PayPal Machine Learning Engineer 

United States, California, San Jose 

139666152

Your day to day

As a Machine Learning Engineer you will be responsible for:

• Creating innovative AI/ML solutions that enhance personalization for PayPal users, with a focus on AI/ML algorithms supporting ranking and recommendation problems among other challenges.
• Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.
• Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.
• Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.

What are we looking for

• Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 3 years of hands-on experience as an individual contributor.
• Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional machine learning,collaborative/content-basedrecommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.
• Demonstrated ability to write scalable production-quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.
• Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch.

Nice to Haves

• Experience with Graph-based algorithms and infrastructure.
• Experience working on feed-based ML ranking and recommendation systems.
• Prior experience working in a cloud-based environment such as GCP.
• Hands-on experience with conducting experiments in various areas of personalization and causal inferencing.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$72700 to $176000

Any general requests for consideration of your skills, please