Remote Senior ML Engineer, FinTech Data & Risk

Stripe; San Francisco (CA); Hybrid; USD 254,000 - 380,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe’s Financial Connections team is seeking seasoned ML engineers to design, train, and deploy ML models at scale, improving data quality and useful signals across thousands of financial institutions.

You will build large-scale systems, iterate with PyTorch, TensorFlow, and XGBoost, and collaborate across product and engineering to ship reliable data products. This hybrid role offers strong growth and impact.

Qualifications

• 10+ 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.
• Hands-on experience in designing, training, and evaluating machine learning models.
• Hands-on experience in productionizing and deploying models at scale.
• Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets.
• Strong collaboration skills and the ability to work across teams and contribute to peers’ success.
• Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset.

Responsibilities

• Design, build, train, evaluate, deploy, and own ML models in production that improve transaction categorization, risk scoring, and data enrichment across Financial Connections
• Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions
• Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy
• 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, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers
• Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions
• Mentor engineers and contribute to a strong ML engineering culture within the team

Skills

PyTorch

TensorFlow

XGBoost

Spark

Education

MS or PhD in ML/AI or related field

Job description

Stripe’s Financial Connections team is seeking seasoned ML engineers to design, train, and deploy ML models at scale, improving data quality and useful signals across thousands of financial institutions.

You will build large-scale systems, iterate with PyTorch, TensorFlow, and XGBoost, and collaborate across product and engineering to ship reliable data products. This hybrid role offers strong growth and impact.