Machine Learning Engineer, ML Exploration

About the role

Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. The Machine Learning Infrastructure group at Stripe aims to provide state of the art infrastructure and support for building and operationalizing AI/ML models for all business verticals within the company.

Responsibilities

• Designing, training, improving & launching machine learning models using tools such as XGBoost, Tensorflow, PyTorch.
• Proposing and implementing ideas that directly impact Stripe’s top line metrics.
• Propose new feature ideas and design data pipelines to incorporate them into our models.
• Improve the way we evaluate and monitor our model and system performance.
• Collaborate with stakeholders and drive end-to-end projects involving a variety of technologies and systems to successful completion.

Requirements

• At least 5 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production.
• Advanced degree in a quantitative field (e.g. computer science, statistics, physics, …).
• Proficient in Python, Scala, Spark.

Preferred Qualifications

• 5+ years of experience in full time software development roles.
• Hands-on applied ML (model training, deployment to production, etc) experience.
• You keep up-to-date on the latest in AI engineering practices and research.
• Knowledge about driving a hypothesis from data.
• Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis.
• Experience evaluating niche and upcoming ML solutions.