Sr Staff Machine Learning Engineer
Description For Sr Staff Machine Learning Engineer
PayPal, a global fintech leader with over 25 years of experience, is seeking a Sr Staff Machine Learning Engineer to join their Applied Intelligence organization. This role offers an exciting opportunity to work at the forefront of AI technology, developing and implementing advanced machine learning solutions that impact millions of users worldwide.
The position involves overseeing strategic direction and execution of machine learning projects, with a focus on fine-tuning and developing foundational models. You'll be working with cutting-edge technologies and frameworks like PyTorch, TensorFlow, and Hugging Face, while collaborating with cross-functional teams to integrate AI solutions across PayPal's ecosystem.
As a senior technical leader, you'll be responsible for building scalable ML pipelines, ensuring data quality, and deploying models into production environments. The role requires extensive experience (12-15 years) in machine learning engineering, with deep expertise in MLOps practices and cloud platforms. You'll also mentor junior engineers and contribute to technical design reviews.
PayPal offers a balanced hybrid work model with 3 days in office and 2 days flexible, along with comprehensive benefits including health insurance, equity options, retirement benefits, and educational opportunities. The company's commitment to innovation, inclusion, and global financial accessibility makes it an ideal place for those passionate about using AI to transform financial services.
Working at PayPal means joining a team that values experimentation, scalability, and operational excellence in AI systems. You'll be part of a company that processes transactions for hundreds of millions of merchants and consumers globally, making a real impact on how people manage and move money in the digital age.
Responsibilities For Sr Staff Machine Learning Engineer
- Fine-tune and optimize advanced machine learning and foundational models
- Build reusable training pipelines and inference systems for production-grade deployment
- Collaborate with cross-functional teams to integrate models into product experiences and backend workflows
- Continuously monitor, test, and improve model performance in live environments
- Mentor junior engineers and contribute to team-wide knowledge sharing
- Participate in internal forums, technical design reviews, and possibly external publications
Requirements For Sr Staff Machine Learning Engineer
- Bachelor's degree or equivalent, with at least 12-15 years of relevant experience
- Strong hands-on experience with ML frameworks like PyTorch, TensorFlow, or Hugging Face
- Experience fine-tuning large models (e.g., LLMs, vision-language models) using SFT, LoRA, RLHF, etc
- Proven experience deploying ML models on cloud platforms such as AWS, GCP, or Azure
- Deep knowledge of MLOps practices and tooling (e.g., model registries, CI/CD for ML)
Benefits For Sr Staff Machine Learning Engineer
- Flexible work environment
- Employee shares options
- Health insurance
- Life insurance
- Retirement benefits
- Paid time off
- 4-week sabbatical program
- Educational benefits
- Career development opportunities
- Company-matched giving
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