{"id":3786397,"url":"https://alion.io/job/paypal-staff-machine-learning-engineer-5","title":"Staff Machine Learning Engineer","company":{"id":71,"name":"PayPal","domain":"paypal.com","url":"https://alion.io/company/paypal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":13,"ghost_share":0,"stale_share":0.385,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":196500,"max":291500,"currency":"USD","period":"year","gross":null,"usd_annual":291500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AutoGen","optional":true},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"Hallucination","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"LoRA","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Model Distillation","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PEFT","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Quantization","optional":true},{"name":"RAG","optional":true},{"name":"Transformers","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-11-04T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T05:32:11Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"The Company\nPayPal 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.\nWe 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.\nWe 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.\nOur 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.\nJob Summary:\nAs a Staff Engineer, you will lead the design, development, and implementation of advanced machine learning (ML), large language model (LLM), and agentic AI systems that solve complex business and customer problems. You will translate emerging AI capabilities into scalable, reliable solutions that improve products, strengthen internal operations, and create measurable business value. This role combines hands-on engineering, architectural leadership, and close collaboration with data scientists, software engineers, product managers, and business stakeholders.Job Description:\nEssential Responsibilities:\nLead the development and optimization of advanced machine learning models.\nOversee the preprocessing and analysis of large datasets.\nDeploy and maintain ML solutions in production environments.\nCollaborate with cross-functional teams to integrate ML models into products and services.\nMonitor and evaluate the performance of deployed models, making necessary adjustments.\nMinimum Qualifications:\n5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.\nExtensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.\nExpertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.\nAdditional Responsibilities & Preferred Qualifications:\nPreferred Qualifications:\nMaster’s or PhD in Computer Science, Machine Learning, or related fields. \nProven experience designing and developing deep neural network (DNN) solutions. \nExperience building large-scale ads, recommendation, search, and ranking systems, and user modeling (e.g., personalization, embeddings, retrieval, learning-to-rank, and user behavior and intent modeling). \nHands-on experience building and shipping LLM applications in production, including fine-tuning (e.g., LoRA/PEFT), retrieval-augmented generation (RAG), and prompt engineering. \nExperience designing agentic systems with tool use, planning, memory, and multi-agent orchestration, using frameworks such as LangGraph, LangChain, AutoGen, or Model Context Protocol (MCP).\nExperience with LLM and agent evaluation, guardrails, and observability, including offline/online evals and hallucination detection.\nExperience optimizing LLM inference for latency and cost (e.g., vLLM, quantization, distillation, GPU serving).\nSubsidiary:\nPayPalTravel Percent:\n0-\nThe 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:\nPrimary Location | Pay Range:\nSan Jose, California: ($196,500.00 - $291,500.00 Annually)\nAdditional Location(s) | Pay Range:\nNo other locations are assigned to this requisition currently.\n\nAdditional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.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 https://careers.pypl.com/contact-us.\nFor the majority of employees, PayPal'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.\nOur Benefits:\nAt 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.\nWho We Are:\nClick Here to learn more about our culture and community.\nCommitment to Diversity and Inclusion\nPayPal 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 at .\nBelonging at PayPal:\nOur 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.\nAny general requests for consideration of your skills, please Join our Talent Community.\nWe know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. 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