Machine Learning Engineer, Payments ML AcceleratorJoin to apply for the Machine Learning Engineer, Payments ML Accelerator role at StripeMachine Learning Engineer, Payments ML AcceleratorJoin to apply for the Machine Learning Engineer, Payments ML Accelerator role at StripeAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.About StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.About The TeamThe Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products. We build deep learning models that tackle Stripe's most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact. Our work combines advanced ML techniques with large-scale data infrastructure to enable rapid experimentation and seamless deployment of AI-powered solutions. As a central ML innovation hub, we work closely with product teams to identify high-impact opportunities and implement scalable solutions that can be leveraged across the organization.What You'll DoAs a machine learning engineer on our team, you’ll develop advanced ML solutions that directly impact Stripe’s payment products and core business metrics. Your role will span the entire ML lifecycle, from research and experimentation to production deployment.You’ll work on high-leverage problems that require innovation in modeling, optimization, and system design. Where possible, you’ll look beyond point solutions - designing approaches and architectures that are reusable, extensible, and serve as foundation models for future capabilities.The role demands strong technical judgment, deep knowledge of modern ML methods, and the ability to translate ideas into systems that deliver measurable impact. You’ll partner with product and engineering teams to identify opportunities where ML can move the needle today while setting Stripe up for long-term success.ResponsibilitiesDesign and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customersIdentify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiativesArchitect generalizable ML workflows to enable rapid scaling and optimized online performanceDeploy ML models online and ensure operational stabilityExperiment with advanced ML solutions in the industry and ideate on product applicationsExplore cutting-edge ML techniques and evaluate their potential to solve business problemsWork closely with ML infrastructure teams to shape new platform capabilitiesWho You AreWe are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.Minimum RequirementsMinimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to productionProficient in Python, Scala, and SparkProficient in deep learning and LLM/foundation modelsPreferred QualificationsMS/PhD degree in quantitative field or ML/AI (e.g. computer science, math, physics, statistics)Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesisExperience evaluating niece and upcoming ML solutionsHybrid work at StripeThis role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.Pay and benefitsThe annual US base salary range for this role is $212,000 - $318,000. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware Development, Financial Services, and Technology, Information and InternetReferrals increase your chances of interviewing at Stripe by 2xGet notified about new Machine Learning Engineer jobs in Seattle, WA.Software Engineer, Credit Card and SoFi MoneySeattle, WA $105,600.00-$198,000.00 1 month agoSeattle, WA $99,500.00-$187,000.00 1 week agoSeattle, WA $100,000.00-$220,000.00 5 months agoSoftware Developer-Artificial Intelligent/Machine LearningSeattle, WA $158,200.00-$185,000.00 3 weeks agoBellevue, WA $130,000.00-$170,000.00 1 month agoSeattle, WA $112,725.00-$177,840.00 2 days agoRedmond, WA $100,600.00-$258,000.00 1 week agoSeattle, WA $167,000.00-$185,500.00 2 weeks agoMachine Learning Engineer, Monetization EngineeringBellevue, WA $145,000.00-$204,000.00 2 weeks agoSeattle, WA $147,000.00-$259,000.00 1 week agoMachine Learning Engineer, Core EngineeringSeattle, WA $140,000.00-$220,000.00 3 weeks agoBellevue, WA $147,000.00-$259,000.00 1 week agoMachine Learning Engineer, Forecast PlatformSeattle, WA $112,725.00-$177,840.00 2 days agoBellevue, WA $71,200.00-$127,200.00 3 weeks agoMachine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)Seattle, WA $112,725.00-$177,840.00 2 weeks agoSeattle, WA $180,000.00-$264,000.00 1 day agoMachine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI)-2025 Start (BS/MS)Seattle, WA $112,725.00-$177,840.00 3 hours agoGreater Seattle Area $155,000.00-$175,000.00 19 hours agoBellevue, WA $56.25-$173,000.00 2 weeks agoSeattle, WA $56.25-$173,000.00 2 weeks agoRedmond, WA $56.25-$173,000.00 2 weeks agoCalifornia, United States $100,000.00-$720,000.00 1 week agoSeattle, WA $70.67-$208,000.00 2 weeks ago[HackerRank]Software Engineer Graduate (E-commerce Recommendation Infrastructure) - 2025 Start (BS/MS)Seattle, WA $112,725.00-$177,840.00 1 week agoMachine Learning Engineer Intern (TikTok-Recommendation) - 2025 Fall (BS/MS)Seattle, WA $212,000.00-$318,000.00 2 weeks agoSeattle, WA $120,300.00-$168,700.00 3 days agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr