Machine Learning Engineer, Supportability
7 days ago
Overview Stripe 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. Machine Learning at Stripe Machine learning is an integral part of almost every service at Stripe. Key products and use-cases powered by ML at Stripe include merchant and transaction risk, payments optimization and personalization, identity verification, and merchant data analytics and insights. We are also using the latest generative AI technologies to re-imagine product experiences, and are developing AI Assistants both for our customers and to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company. Stripe handles over $1T in payments volume per year, which is roughly 1% of the world’s GDP. We process petabytes of financial data using our ML platform to build features, train models, and deploy them to production. We use a combination of highly scalable and explainable models such as linear/logistic regression and random forests, along with the latest deep neural networks from transformers to LLMs. Some of our latest innovations have been around figuring out how best to bring transformers and LLMs to improve existing models and enable entirely new product ideas that are only made possible by GenAI. Stripe’s ML models serve millions of users daily and reduce financial risk, increase
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Machine Learning Engineer, Supportability
7 days ago
San Pablo, Philippines Stripe Full timeOverview Stripe 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....
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Machine Learning Engineer, Identity Product
2 days ago
San Pablo, Philippines Stripe Full timeWho we are: Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. Machine Learning at Stripe Machine learning is an integral part of almost every service at Stripe. Key products and...
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San Pablo, Philippines Stripe Full timeAbout Stripe Stripe 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...
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Machine Learning Platform Engineer
2 weeks ago
San Jose, Philippines ByteDance Full timeThe Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training, model deployment, and other core business functions. The team oversees the company’s critical machine learning platform and serves...
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Lead Machine Learning Engineer
2 weeks ago
San Jose, Philippines ByteDance Full timeLead Machine Learning Engineer (Multiple Positions) Location: San Jose Team: Technology Employment Type: Regular Job Code: A40714C Share this listing: Responsibilities Drive the building of industry-leading systems, and improve user experience, content ecosystem and platform security. Build machine learning (ML) models and implement ML-based strategies to...
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Software Engineer
2 weeks ago
San Jose, Philippines ByteDance Full timeSoftware Engineer - Applied Machine Learning, Engine Location: San Jose Team: Technology Employment Type: Regular Job Code: A08018 About the team The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation systems around the world. In the team, you'll have the...
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Engineering Manager, Merchant Health Experience
2 weeks ago
San Pablo, Philippines Stripe Full timeAbout Stripe Stripe 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...
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Principal Software Engineer, Risk Technology
3 weeks ago
San Pablo, Philippines SoFi Full timeEmployee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goal....
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Research Scientist
3 weeks ago
San Jose, Philippines ByteDance Full timeResearch Scientist - Machine Learning System Location: San Jose Team: Technology Employment Type: Regular Job Code: A Responsibilities AML-MLsys combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable,...
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Machine Learning Engineer Graduate
3 weeks ago
San Jose, Philippines ByteDance Full timeMachine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (BS/MS) Location: San Jose Team: Technology Employment Type: Regular Job Code: A Responsibilities Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer...
