Назад
6 дней назад

Machine Learning Engineer (Lending)

212 000 - 272 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Страна
US
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Описание вакансии

TL;DR
Machine Learning Engineer (Lending): Building and deploying scalable AI and machine learning solutions for cash-flow-based underwriting with an accent on production model serving, monitoring, and credit modeling. Focus on experimenting with lending models, ingesting signals into distributed production systems, and using data to guide product and business decisions.

Machine Learning Engineer - Lendscore

Company

Plaid Inc.

Conditions

6 days agoSalary: 212K - 272K

Skills

Candidate Availability

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

About the Role

You will design, build, and deploy scalable machine learning solutions for cash-flow-based underwriting. You will take models from experimentation and training through production serving and monitoring, partner on signal ingestion and production systems, and use data to guide modeling and product decisions.

Requirements

  • 2+ years of experience training and serving AI or machine learning models in production
  • Experience in fintech lending
  • Understanding of lending model development and use
  • Experience with data-intensive backend applications in large distributed systems
  • Python
  • Spark
  • Jupyter notebooks
  • Standard machine learning libraries
  • Ability to drive projects to business impact
  • Ability to work with technical and non-technical teams
  • Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field
  • Experience in data analytics or data engineering

Responsibilities

  • Develop and productionize AI and machine learning models from offline training through online serving and monitoring
  • Experiment with modeling approaches for credit use cases
  • Partner with engineering teams to ingest signals and build production systems
  • Contribute to new and established machine learning solutions
  • Collaborate to define the machine learning roadmap
  • Analyze data and use evidence to guide day-to-day decisions

Benefits

  • Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)

Будьте осторожны

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