Machine Learning Engineer

• 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.
• Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.
• Must have two (2) years of experience in each of the following:
• 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.
• Must have one (1) year of experience in each of the following:
• ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and
• Deep learning, including transformers, test-time compute, or reinforcement learning.
• Salary: $212,000 - $318,000/yr.
• 50% Telecommuting Permitted.
• Multiple Positions Available.

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