Staff Machine Learning Scientist

PayPal is a global financial technology company that operates a two-sided network connecting merchants and consumers in approximately 200 markets, enabling digital payments and transactions.
$84,500 - $204,600
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Finance

Description For Staff Machine Learning Scientist

PayPal, a global fintech leader with over 25 years of experience, is seeking a Staff Machine Learning Scientist to join their Global Machine Learning team. This role offers an exciting opportunity to shape the future of financial technology through AI-driven solutions. The position involves developing sophisticated machine learning models for personalization, recommendation, and ranking systems across PayPal's brands including BrainTree and Venmo.

The ideal candidate will work at the intersection of cutting-edge AI technology and financial services, developing solutions that impact hundreds of millions of users worldwide. You'll be responsible for implementing advanced ML models, including gradient boosted decision trees, graph neural networks, and deep learning models, while also working on generative AI solutions.

PayPal offers a competitive compensation package ranging from $84,500 to $204,600, along with comprehensive benefits including medical coverage, equity, and a unique hybrid work model. The company's culture emphasizes inclusion, innovation, collaboration, and wellness, making it an ideal environment for talented ML scientists looking to make a significant impact in global financial technology.

The role requires either a Masters degree with 5+ years of experience or a PhD with 4+ years of experience in relevant fields. You'll be working with modern technologies including Python, SQL, TensorFlow, and PyTorch, while collaborating with engineering teams to deploy scalable solutions. This position offers an excellent opportunity to work on real-world problems at scale while contributing to PayPal's mission of democratizing financial services globally.

Last updated a month ago

Responsibilities For Staff Machine Learning Scientist

  • Develop and implement advanced ML models including gradient boosted decision trees, graph neural networks and deep learning models
  • Design and deploy scalable generative AI solutions
  • Design and deploy scalable ML/AI solutions for seamless customer experience
  • Communicate complex concepts and results to technical and non-technical audiences
  • Optimize customer journey through personalized experiences
  • Work on recommendation systems for PayPal products

Requirements For Staff Machine Learning Scientist

Python
  • Masters degree or equivalent experience in Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence with 5+ yrs experience or PhD with 4+ yrs experience
  • Experience in Recommendation, Ranking, Product and Marketing domains
  • Proficient in Python, SQL
  • Familiarity with machine learning frameworks like TensorFlow and PyTorch
  • Experience with GCP/Hadoop and big data
  • Experience leading ML projects
  • Experience shipping Realtime models
  • Fluent spoken and written English communication

Benefits For Staff Machine Learning Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Education Budget
  • Medical, dental, vision benefits
  • Annual performance bonus
  • Equity
  • Retirement and investment resources
  • Paid Time Off
  • 4-week sabbatical program
  • Career and leadership training
  • Educational benefits
  • Hybrid work model (3 days office, 2 days flexible)

Interested in this job?

Jobs Related To PayPal Staff Machine Learning Scientist

Lead ML Platforms Engineer

Lead ML Platforms Engineer position at PayPal, focusing on AI/ML development for credit platforms, requiring 8+ years of experience and strong expertise in Python, Java, and machine learning.

Staff Software Engineer (AI)

Staff Software Engineer position at PayPal focusing on AI and compliance platforms, requiring 6+ years of experience and expertise in Java, big data, and generative AI technologies.

Senior Applied Machine Learning Engineer - Merchant Menu

Senior Applied Machine Learning Engineer role at DoorDash focusing on optimizing merchant menus using AI/ML technologies.

Lead MLOps Engineer

Lead MLOps Engineer position at Quantexa, focusing on designing and maintaining production-level machine learning models with emphasis on infrastructure and automation.

Senior Machine Learning Engineer (Firefly)

Senior Machine Learning Engineer role at Adobe Firefly, focusing on developing and optimizing large-scale generative AI model pipelines and backend services.