Stripe
Overview Machine Learning Engineer, Identity Product role at Stripe. Build and operate ML-powered decisioning systems for Stripe’s Identity product, enabling trusted digital identity and fraud prevention at scale.
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. What you’ll do
Design and deploy new models using tools such as Spark, Presto, XGBoost, TensorFlow, PyTorch and iteratively improve verification and fraud models to protect millions of users from fraud Integrate new signals into ML pipelines, derive new ML features, and build workflows to speed up this process Integrate new models and behaviors into Stripe’s core payment flow Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe Collaborate cross-functionally with data science, product management, infrastructure, and risk teams to design, build, deploy, and operate ML-powered decisioning systems Who you areMinimum Requirements
6+ years of industry experience building and shipping ML systems in production Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, and Spark Knowledge of various ML algorithms and model architectures Hands-on experience in designing, training, and evaluating machine learning models Experience performing analysis, including querying data, defining metrics, or slicing and dicing data to model performance and business metrics Preferred Qualifications
MS/PhD in ML/AI or related field (e.g., math, physics, statistics) Experience with deep neural networks, including transformers and LLMs Experience working in Java or Ruby codebases Proven track record of building and deploying ML systems that solve ambiguous business problems Experience in adversarial domains such as Payments, Fraud, Trust, or Safety Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). Pay and benefits The annual US base salary range for this role is $212,000 - $318,000. Additional benefits may include equity, company bonus or sales commissions/bonuses; 401(k); medical, dental, and vision benefits; and wellness stipends.
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While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. What you’ll do
Design and deploy new models using tools such as Spark, Presto, XGBoost, TensorFlow, PyTorch and iteratively improve verification and fraud models to protect millions of users from fraud Integrate new signals into ML pipelines, derive new ML features, and build workflows to speed up this process Integrate new models and behaviors into Stripe’s core payment flow Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe Collaborate cross-functionally with data science, product management, infrastructure, and risk teams to design, build, deploy, and operate ML-powered decisioning systems Who you areMinimum Requirements
6+ years of industry experience building and shipping ML systems in production Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, and Spark Knowledge of various ML algorithms and model architectures Hands-on experience in designing, training, and evaluating machine learning models Experience performing analysis, including querying data, defining metrics, or slicing and dicing data to model performance and business metrics Preferred Qualifications
MS/PhD in ML/AI or related field (e.g., math, physics, statistics) Experience with deep neural networks, including transformers and LLMs Experience working in Java or Ruby codebases Proven track record of building and deploying ML systems that solve ambiguous business problems Experience in adversarial domains such as Payments, Fraud, Trust, or Safety Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). Pay and benefits The annual US base salary range for this role is $212,000 - $318,000. Additional benefits may include equity, company bonus or sales commissions/bonuses; 401(k); medical, dental, and vision benefits; and wellness stipends.
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