Sr Staff Machine Learning Scientist, Agentic AI

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    "startDate": "2026-03-10",
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    "jobDescription": "<p style=\"text-align:left\"><b>The Company</b></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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. </p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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. </p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">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.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Summary:</b></p>PayPal is seeking a Senior Staff Machine Learning Scientist to drive the next evolution of Venmo’s Agentic Experiences — a new paradigm redefining how users interact with Venmo through intelligent, context-aware, and autonomous AI systems. <br><br>In this role, you will be a key contributor to the design and development of Venmo’s Agentic interface, helping shape both the product vision and the underlying AI architecture. You will work on everything from agentic system design and orchestration to LLM fine-tuning, context engineering, evaluation, and deployment. Your work will enable Venmo to deliver personalized, proactive, and conversational experiences powered by advanced large language models and cutting-edge agent frameworks. <br><br>This role is ideal for candidates who are deeply passionate about Agentic programming, LLM customization, and building intelligent, interactive financial experiences at scale.<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Description:</b></p><p><b>Essential Responsibilities: </b></p><ul>\r\n<li>Define and drive the strategic vision for machine learning initiatives within the team.</li>\r\n<li>Lead the development and optimization of machine learning models.</li>\r\n<li>Oversee the preprocessing and analysis of large datasets.</li>\r\n<li>Deploy and maintain ML solutions in production environments.</li>\r\n<li>Collaborate with cross-functional teams to integrate ML models into products and services.</li>\r\n<li>Monitor and evaluate the performance of deployed models, making necessary adjustments.</li>\r\n<li>Mentor and guide junior engineers and data scientists.</li>\r\n<li>Ensure adherence to best practices and industry standards in ML development.</li>\r\n</ul><p></p><p><b>Minimum Qualifications:</b></p><ul>\r\n<li>8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.</li>\r\n<li>Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li>\r\n<li>Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li>\r\n<li>Proven track record of leading the design, implementation, and deployment of machine learning models.</li>\r\n</ul><div><div><div><div><div><div><div><div><div><div><div><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Additional Responsibilities &amp; Preferred Qualifications<span>:</span></b></p></div></div></div></div></div></div></div></div></div></div></div><div><div><p><b><span>Your Day-to-Day</span></b><span> </span></p></div><div><ul><li><p><b><span>Design, develop, and evolve Venmo’s Agentic system</span></b><span><span>, including its reasoning, memory, and action layers to deliver dynamic, context-aware user experiences.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Fine-tune large language models (LLMs)</span></b><span><span><span> </span>for Venmo-specific use cases, ensuring robust alignment, safety, and personalization.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Implement and extend agentic frameworks</span></b><span><span><span> </span>such as<span> </span></span></span><b><span>A2A (Agent-to-Agent), MCP (Model Context Protocol),<span> </span></span><span>LangGraph</span></b><span><span>, or similar, to enable complex, multi-agent interactions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Perform advanced context and prompt engineering</span></b><span><span>,<span> </span></span><span>optimizing</span><span><span> </span>model responses and orchestrating multi-turn, multi-source interactions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Collaborate closely with product, design, and platform engineering teams</span></b><span><span><span> </span>to shape Venmo’s next-generation Agentic product capabilities and AI interface roadmap.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Experiment with reinforcement learning, retrieval-augmented generation (RAG), and online adaptation</span></b><span><span><span> </span>to improve agent behavior and response quality.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Develop scalable, production-ready LLM and agentic pipelines</span></b><span><span>, including data preparation, model training, evaluation, and continuous improvement.</span></span><span> </span></p></li></ul></div><div><ul><li><p><b><span>Communicate insights and technical trade-</span><span>offs</span></b><span><span><span> </span>clearly</span><span><span> </span>across technical and business teams to guide decision-making and influence Venmo’s broader AI strategy.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><b><span>What<span> </span></span><span>You’ll</span><span><span> </span>Bring</span></b><span> </span></p></div><div><ul><li><p><span><span>Master’s degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>7&#43; years of relevant industry experience (or 6&#43; years with a PhD).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Deep understanding of<span> </span></span></span><b><span>Transformer architectures</span></b><span><span><span> </span>and hands-on experience with<span> </span></span></span><b><span>fine-tuning LLMs</span></b><span><span><span> </span>for production use cases.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong<span> </span></span><span>proficiency</span><span><span> </span>in<span> </span></span></span><b><span>Python</span></b><span><span><span> </span>and ML frameworks such as<span> </span></span></span><b><span>PyTorch</span><span>, TensorFlow, or JAX</span></b><span><span>.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Demonstrated experience with<span> </span></span></span><b><span>Agentic frameworks</span></b><span><span><span> </span>such as<span> </span></span></span><b><span>A2A, MCP,<span> </span></span><span>LangGraph</span><span>, or<span> </span></span><span>LangChain</span></b><span><span>, and an understanding of<span> </span></span></span><b><span>Agent-Oriented Design patterns</span></b><span><span>.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience building<span> </span></span></span><b><span>context-aware conversational systems</span></b><span><span>, integrating multi-source data for reasoning and response generation.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with<span> </span></span></span><b><span>evaluation methods for LLMs and agentic systems</span></b><span><span>, including prompt testing, offline metrics, and human feedback loops.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with<span> </span></span></span><b><span>MLOps</span><span><span> </span>and<span> </span></span><span>LLMOps</span><span><span> </span>workflows</span></b><span><span>, including model deployment, monitoring, and iterative retraining at scale.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Excellent communication skills with the ability to collaborate across engineering, research, and product teams.</span></span><span> </span></p></li></ul><p></p><div><p><b><span>Why Join Us</span></b><span> </span></p></div><div><p><span><span>You’ll</span><span><span> </span>be part of the team pioneering<span> </span></span></span><b><span>Venmo’s intelligent, agentic future</span></b><span><span><span> </span>— building AI systems that think, adapt, and act on behalf of users to simplify financial interactions.</span></span><span><span> </span></span></p><p><br /><span><span>This is a unique opportunity to work at the intersection of<span> </span></span></span><b><span>machine learning, LLM research, and human-centered product design</span></b><span><span>, driving the evolution of one of the most trusted financial brands in the world.</span></span><span> </span></p></div></div></div><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Subsidiary:</b></p>PayPal<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Travel Percent:</b></p>0<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\">-</p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p>The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Primary Location | Pay Range:</b></p>San Jose, California | ($218,000.00 - $323,950.00 Annually)<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Additional Location(s) | Pay Range:</b></p>No other locations are assigned to this requisition currently.<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p>Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.<p></p><p><span>PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes.  Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately.  To learn more about how to identify and avoid recruitment fraud please visit <a href=\"http://careers.pypl.com/contact-us\" target=\"_blank\">https://careers.pypl.com/contact-us</a>. </span></p><p></p><p>For the majority of employees, PayPal&#39;s 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.</p><p></p><p><b>Our Benefits:</b></p><p>At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.</p><p></p><p><b>Who We Are:</b></p><p><a href=\"https://about.pypl.com/who-we-are/default.aspx\" target=\"_blank\"><span>Click Here</span></a><span> to learn more about our culture and community.</span></p><p></p><p><b>Commitment to Diversity and Inclusion  </b></p><p><span>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.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us </span><span>at </span><a href=\"mailto:paypalglobaltalentacquisition&#64;paypal.com\" target=\"_blank\"><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>paypalglobaltalentacquisition&#64;paypal.com</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></a><span>.</span><span> </span></p><p></p><p><b>Belonging at PayPal:</b> </p><p>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.</p><p></p><p><span>Any general requests for consideration of your skills, please </span><a href=\"https://nam11.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data&#61;05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata&#61;iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved&#61;0\" target=\"_blank\">Join our Talent Community</a><span>. </span></p><p></p><p><u>We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.</u></p><p></p>",
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