Stripe
Machine Learning Engineer, Capital Underwriting
US · 1d ago
Not specified5+ YOE
Quick summary
AI parsed- Experience
- 5+ years building and shipping ML systems in production; proficiency with PyTorch, TensorFlow, XGBoost, Spark; knowledge of ML algorithms and model architectures; hands-on experience in designing, training, evaluating, productionizing, and deploying models at scale; experience orchestrating data pipelines and collaborating across teams
Responsibilities
- Design state-of-the-art ML models and large scale ML systems for underwriting and portfolio management based on ML principles, domain knowledge, risk, regulatory and engineering constraints
- Experiment and iterate on ML models using 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
Full description
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<h2><strong>Who we are</strong></h2>
<h3><strong>About Stripe</strong></h3>
<p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the glob…