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Sr. Machine Learning Architect

PayPal is a global fintech company that operates a two-sided network connecting merchants and consumers, enabling digital payments and financial services in approximately 200 markets.
$169,500 - $291,500
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Finance

Description For Sr. Machine Learning Architect

PayPal's Data Architecture team is seeking an experienced Sr. Machine Learning Architect to lead the design and implementation of cutting-edge AI/ML solutions for their fintech platform. This role combines deep technical expertise in machine learning with architectural leadership to build scalable, secure data solutions that power PayPal's financial services.

The position offers an opportunity to work at the intersection of AI/ML and fintech, architecting solutions that will impact hundreds of millions of users globally. You'll be responsible for designing end-to-end data pipelines, implementing AI/ML models, and ensuring these systems meet strict financial sector compliance requirements.

As a Sr. ML Architect, you'll collaborate with business units to translate complex financial problems into technical solutions, leveraging technologies like Vertex AI, cloud platforms (GCP/Azure), and containerization tools. Your expertise will be crucial in building robust data infrastructure that supports both traditional and AI-powered financial services.

The role requires a unique blend of technical depth in AI/ML, system architecture experience, and financial domain knowledge. You'll be expected to mentor other engineers, communicate effectively with stakeholders at all levels, and maintain high standards for security and compliance in all architectural decisions.

PayPal offers a competitive compensation package, comprehensive benefits, and a hybrid work environment. You'll be joining a company at the forefront of financial innovation, with a mission to democratize financial services globally. The collaborative culture, focus on innovation, and opportunity to work on large-scale, impactful projects make this an exciting opportunity for experienced ML architects looking to shape the future of financial technology.

Last updated a day ago

Responsibilities For Sr. Machine Learning Architect

  • Design and implement reliable & scalable AI/ML-powered solutions
  • Translate business problems into technical solutions using machine learning
  • Design data processing pipelines for AI/ML training and simulation
  • Integrate AI/ML models into existing fintech applications
  • Document architectural decisions and best practices
  • Design and implement secure data storage solutions for various data types
  • Ensure adherence to security best practices for cloud-based AI/ML deployments
  • Provide guidance and mentorship to engineers
  • Design data structures meeting both functional and non-functional requirements
  • Ensure compliance with AI/ML governance standards in the financial sector

Requirements For Sr. Machine Learning Architect

Kubernetes
  • Proven experience as a Data Architect with a focus on AI/ML in the financial sector
  • Strong understanding of data management principles and best practices
  • Experience designing and implementing data pipelines for AI/ML projects
  • In-depth knowledge of cloud platforms like GCP or Azure for data storage and management
  • Expertise in containerization technologies (Docker, Kubernetes)
  • Clear vision for architecture designs and good communication skills
  • Experience with Vertex AI and/or OpenAI is a plus

Benefits For Sr. Machine Learning Architect

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Parental Leave
  • Comprehensive health and wellness programs
  • Retirement and investment resources
  • 4 week sabbatical program
  • Paid time off
  • Career and leadership training
  • Educational benefits
  • Company-matched giving
  • Flexible work environment
  • Employee shares options

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