The opportunity
Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production.
What you'll do
Design state-of-the-art ML models and large-scale ML systems for underwriting: and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.
Design systems to speed up the time from idea to deployment of new models.
Experiment and iterate on ML models (using tools including PyTorch and: TensorFlow) 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.
What they're looking for
- ML algorithms and model architectures;
- Designing, training and evaluating machine learning models;
- Productionizing and deploying machine learning models at scale;
- Orchestrating data pipelines and leveraging large-scale datasets; and
- Building and deploying ML models to solve business problems.
- ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and
- Deep learning, including transformers, test-time compute, or reinforcement learning.
