Staff Machine Learning Engineer, Radar
N/A
Posted 10d ago
Job Location
N/A
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns over 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.
Responsibilities
- Design, build, train, evaluate, deploy, and own ML models in production for fraud detection.
- Design and build large-scale ML systems for diverse, large-scale data.
- Experiment and iterate on ML models to achieve business goals for data quality and accuracy.
- Develop pipelines and automated processes for model training and evaluation.
- Integrate ML models into production systems, ensuring scalability and reliability.
- Collaborate with partners to identify ML opportunities for merchants and consumers.
- Engage with ML/AI developments and transform innovative ideas into productionized solutions.
- Mentor engineers and contribute to ML engineering culture.
Requirements
- 10+ years of industry experience building and shipping ML systems in production.
- Proficient with ML libraries and frameworks like PyTorch, TensorFlow, XGBoost, and Spark.
- Hands-on experience designing, training, and evaluating machine learning models.
- Hands-on experience productionizing and deploying models at scale.
- Hands-on experience orchestrating data pipelines and leveraging large-scale datasets.
- Strong collaboration skills and ability to work across teams.
- Ability to thrive with autonomy, responsibility, and an entrepreneurial mindset.