Job
Description
Job Summary This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Your Way to Impact As a Sr. Staff Machine Learning Engineer, you ll be instrumental in scaling PayPal s AI capabilities through advanced fine-tuning and foundational model development. Your work will directly enhance how we serve our customers with intelligent, adaptive, and personalized experiences. From conversational agents to smart automation, the models you build will be embedded across PayPal s ecosystem, impacting millions of users globally. Meet Our Team You ll be part of the Applied Intelligence organization, working alongside product, platform, and infrastructure teams. We power next-gen experiences through a unified AI stack accelerating time-to-value for internal users and building intuitive solutions for consumers and merchants. You ll be joining a team that values experimentation, scalability, and operational excellence in AI systems. Job Description Your Day to Day 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. What You Need to Bring 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). Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.
