Stripe is looking to solve the problem of identity verification and trust in the digital economy by building a product that can transform how trust is established online.
Requirements
- 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
- Experience with DNNs including the latest architectures such as transformers and LLMs
- Experience working in Java or Ruby codebases
- Experience with Spark, Presto
Responsibilities
- Design and deploy new models using tools such as Spark, Presto, XGBoost, Tensorflow, PyTorch
- Integrate new signals into ML pipelines, derive new ML features, and build workflows to make this process fast
- 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 and execute projects cross-functionally with the data science, product management, infrastructure, and risk teams
Other
- 6+ years of industry experience building and shipping ML systems in production
- MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
- 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
