PayPal is seeking a Staff Machine Learning Engineer to lead the design, development, and implementation of cutting-edge Generative AI solutions. This role offers an exciting opportunity to work at one of the world's leading fintech companies, focusing on innovative AI technologies that can make an organization-wide impact.
The position requires a seasoned professional with at least 10 years of experience, including deep expertise in machine learning frameworks and Generative AI technologies. You'll be responsible for architecting and leading the development of advanced AI solutions, including Technology Assistants, AI Agents, and fine-tuned models with domain expertise.
PayPal offers a balanced hybrid work model with 3 days in office and 2 days flexible between office or home. The company provides comprehensive benefits including equity options, health insurance, retirement benefits, and a unique 4-week sabbatical program. The role is based in Bangalore, India, and will be part of PayPal's machine learning engineering team.
As a Staff Machine Learning Engineer, you'll collaborate with architects, product managers, and development teams to deliver high-quality, secure AI solutions. The ideal candidate should have strong proficiency in Python, cloud infrastructure, and experience with large language models (LLMs) and prompt engineering techniques.
PayPal's mission is to democratize financial services and ensure everyone can participate in the global economy. The company operates a global, two-sided network connecting hundreds of millions of merchants and consumers, making it an exciting place to work on AI solutions that can have real-world impact at scale.
The role offers excellent growth opportunities, comprehensive benefits, and the chance to work with cutting-edge AI technologies while solving complex challenges in the financial technology sector. If you're passionate about AI/ML and want to make a significant impact in a company that's revolutionizing global commerce, this position offers an excellent opportunity to advance your career while working on meaningful projects.