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Staff Machine Learning Engineer

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Staff Machine Learning Engineer in USA

  • New York, NY

Responsibilities

  • Design, build, train, evaluate, deploy, and own production ML models for transaction categorization, risk scoring, and financial data enrichment.
  • Build large-scale ML systems using diverse financial data from thousands of institutions.
  • Experiment with ML frameworks and models to improve data quality, accuracy, and business outcomes.
  • Develop automated pipelines for training and evaluating models in offline and online environments.
  • Integrate ML models into production systems while ensuring scalability and reliability.
  • Collaborate with product, data science, and engineering partners to identify ML opportunities.
  • Evaluate emerging ML and AI developments and productionize promising solutions.
  • Mentor engineers and contribute to the team’s ML engineering culture.

Requirements

  • 10+ years of industry experience building and shipping ML systems in production.
  • Proficiency with 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 efficiently.
  • Strong collaboration skills and the ability to work across teams and support peers’ success.
  • Ability to work autonomously with substantial responsibility and an entrepreneurial mindset.
  • Preferred: MS or PhD in ML/AI or a related field such as mathematics, physics, statistics, or computer science.
  • Preferred: Experience in fintech, open banking, financial data, NLP, LLMs, text classification, fraud detection, risk modeling, data quality, or ambiguous business problem-solving.
  • Preferred: Experience with deep learning architectures, including transformers.

Stripe

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.

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