Назад
3 дня назад

Staff Machine Learning Engineer (Financial Products)

297 000 - 401 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Страна
US
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Описание вакансии

TL;DR
Staff Machine Learning Engineer (Financial Products) (Machine Learning/MLOps): Building scalable production machine-learning pipelines for feature engineering, model training, validation, deployment, and credit-risk products with an accent on data engineering, model lifecycle management, and production reliability. Focus on optimizing training and inference bottlenecks, integrating ML systems into financial products, and designing workflows with Kubernetes, Airflow, and Argo Workflows.

Staff Machine Learning Engineer Financial Products

Company

Adyen

Conditions

1 day ago Salary: 297K - 401K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build scalable ML pipelines for feature engineering, training, validation, and deployment. You will optimize training and inference, integrate ML into products, collaborate with risk and data functions, and support strong engineering practices.

Requirements

  • At least 8 years of machine learning engineering experience
  • Python programming and Java experience
  • Production machine learning lifecycle experience
  • Big-data pipeline experience
  • Software engineering, data engineering, and MLOps knowledge
  • Data science, statistics, and machine learning knowledge
  • Experience with PySpark, Trino SQL, TensorFlow, PyTorch, XGBoost, LightGBM, Pandas, MLflow, and Airflow
  • Experience with Kubernetes, Docker, Argo Workflows, Prometheus, and Grafana

Responsibilities

  • Develop and maintain production ML pipelines
  • Build feature engineering, model training, validation, and deployment workflows
  • Identify and fix ML training and inference bottlenecks
  • Integrate ML solutions into products and services
  • Collaborate with credit operations and data functions
  • Support good engineering practices

Benefits

  • RSUs

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