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Sr Staff Software Engineer – Machine Learning

PayPal revolutionizes commerce globally by enabling secure, simple payments and financial services for consumers and businesses in approximately 200 markets.
$169,500 - $291,500
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
12+ years of experience
AI · Finance
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Description For Sr Staff Software Engineer – Machine Learning

PayPal, a global leader in digital payments and financial technology serving approximately 200 markets, is seeking a Senior Staff Software Engineer to join their Consumer Product Catalog and Search team. This role presents an exciting opportunity to shape the future of product discovery for millions of global shoppers.

The position involves leading the development of next-generation search and recommendation systems at PayPal, focusing on core components of the product search stack. As a technical leader, you'll be responsible for designing and implementing indexing pipelines and query-time services that deliver fast and relevant search results at global scale. The role requires expertise in machine learning, distributed systems, and search infrastructure.

The ideal candidate will have at least 12 years of relevant experience and a proven track record in building large-scale distributed systems. Specific expertise in semantic vector-based retrieval, document enrichment, entity resolution, or knowledge graph technologies is highly valued. The position demands strong technical leadership skills, as you'll be making decisions that affect multiple teams and establishing technical conventions across organizational boundaries.

PayPal offers a competitive compensation package ranging from $169,500 to $291,500 annually, plus performance bonuses and equity. The company provides comprehensive benefits including medical, dental, and vision insurance, retirement plans, and a flexible hybrid work model with 3 days in office and 2 days flexible. Career development is supported through educational benefits and training programs.

The role is based in either San Jose, California or Chicago, Illinois, working in a collaborative environment with ML engineers, backend developers, and catalog data teams. This position offers the opportunity to make a significant impact on PayPal's product discovery capabilities while working for a company that's been revolutionizing global commerce for over 25 years.

PayPal maintains a strong commitment to diversity, inclusion, and belonging, fostering a workplace where all employees can thrive and contribute to the company's mission of democratizing financial services. The company's culture emphasizes innovation, collaboration, and wellness, making it an ideal environment for talented engineers looking to make a meaningful impact on global commerce.

Last updated 3 days ago

Responsibilities For Sr Staff Software Engineer – Machine Learning

  • Makes technical decisions affecting multiple teams, crossing organizational boundaries
  • Establishes conventions & processes to be followed by other employees
  • Handles multiple, multi-team initiatives simultaneously
  • Partners with product management to ideate solutions to business problems & goals
  • Lead core components of the product search stack including indexing pipelines and query-time services
  • Design scalable systems for search capabilities

Requirements For Sr Staff Software Engineer – Machine Learning

  • Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience
  • Experience in semantic vector-based retrieval, document enrichment, entity resolution, or knowledge graph
  • Experience in designing, building, and deploying large-scale distributed backend systems
  • Focus on scalability, availability, and performance

Benefits For Sr Staff Software Engineer – Machine Learning

Medical Insurance
Dental Insurance
Vision Insurance
Equity
401k
Education Budget
Parental Leave
  • Medical, dental, vision insurance
  • Annual performance bonus
  • Equity
  • Retirement and investment resources
  • Paid Time Off and 4-week sabbatical program
  • Educational benefits and career development
  • Company-matched giving
  • Flexible hybrid work model (3 days office, 2 days choice)

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