Machine Learning Engineer, Credit Risk
Jobright.ai
Seattle,
Washington,
United States
Information Technology
H-1B
Job posted on August 9, 2025
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Job Description:
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Job Summary: Stripe is a financial infrastructure platform for businesses, and they are seeking a Machine Learning Engineer to work on credit risk detection. This role involves designing, building, and deploying machine learning models to help reduce credit risk while enhancing user experience.
Responsibilities: • Design state-of-the-art ML models and large scale ML systems for detection and decisioning for Stripe products based on ML principles, domain knowledge, and engineering constraints • Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, and XGBoost) to achieve key business goals and drive efficiency • Develop pipelines and automated processes to train and evaluate models in offline and online environments • Integrate ML models into production systems and ensure their scalability and reliability • Collaborate with product and strategy partners to propose, prioritize, and implement new product features • Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions
Qualifications:
Required: • 6+ years of industry experience building and shipping ML systems in production • Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark • Knowledge of various ML algorithms and model architectures • Hands-on experience in designing, training, and evaluating machine learning models • Hands-on experience in orchestrating complicated data pipelines and efficiently leveraging large-scale datasets
Preferred: • MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics) • Experience with DNNs including the latest architectures such as transformers and LLMs • Experience working in Java or Ruby codebases • Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems • Experience in adversarial domains such as Payments, Fraud, Trust, or Safety
Company: Stripe is an API technology company that provides online payment processing and commerce solutions for Internet businesses. Founded in 2010, headquartered in South San Francisco, California, USA, team size 5001-10000 employees, currently Late Stage. Stripe has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Stripe is a financial infrastructure platform for businesses, and they are seeking a Machine Learning Engineer to work on credit risk detection. This role involves designing, building, and deploying machine learning models to help reduce credit risk while enhancing user experience.
Responsibilities: • Design state-of-the-art ML models and large scale ML systems for detection and decisioning for Stripe products based on ML principles, domain knowledge, and engineering constraints • Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, and XGBoost) to achieve key business goals and drive efficiency • Develop pipelines and automated processes to train and evaluate models in offline and online environments • Integrate ML models into production systems and ensure their scalability and reliability • Collaborate with product and strategy partners to propose, prioritize, and implement new product features • Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions
Qualifications:
Required: • 6+ years of industry experience building and shipping ML systems in production • Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark • Knowledge of various ML algorithms and model architectures • Hands-on experience in designing, training, and evaluating machine learning models • Hands-on experience in orchestrating complicated data pipelines and efficiently leveraging large-scale datasets
Preferred: • MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics) • Experience with DNNs including the latest architectures such as transformers and LLMs • Experience working in Java or Ruby codebases • Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems • Experience in adversarial domains such as Payments, Fraud, Trust, or Safety
Company: Stripe is an API technology company that provides online payment processing and commerce solutions for Internet businesses. Founded in 2010, headquartered in South San Francisco, California, USA, team size 5001-10000 employees, currently Late Stage. Stripe has a track record of offering H1B sponsorships.