Staff Machine Learning Engineer

Requirements

• 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Additional Responsibilities & Preferred Qualifications :
• Domain
• Knowledge of Credit, Payments or any other financial product or services domain
• Generative AI
• Deep expertise in foundation model development using transformer architectures, including pretraining strategies, model scaling, and optimization techniques
• Proficient in LLM fine-tuning methodologies including supervised fine-tuning (SFT), RLHF, REFT, DPO, and parameter-efficient methods such as LoRA and QLoRA
• Strong experience designing and implementing LLM guardrails, including safety filters, output validation, toxicity detection, and policy enforcement frameworks
• Recommendation Systems
• Deep experience in building large scale recommender systems for product/content recommendation
• Solid understanding of foundation models for recommendation systems, including architectures such as Transformers4Rec
• Experience with RL based recommenders such as Multi-armed bandits is an added plus
• Agentic AI
• Hands-on experience building production-grade Agentic AI applications, including multi-agent orchestration, tool use, memory systems, and autonomous reasoning pipelines
• Ability to pick up new agentic AI frameworks
• Technical Leadership
• Ability to provide technical direction and mentorship to cross-functional data science and engineering teams, driving architectural decisions and best practices across the AI stack
• Effective at translating business problems to AI solutions that can scale
• Other Attributes and Skills
• Brings creative, first-principles thinking to complex problems, confidently challe

Benefits

Additional Information

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. 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. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments.

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