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3 дня назад

Senior AI/ML Engineer (Fintech)

172 000 - 238 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI/ML Engineer (Fintech): Building and deploying transformer, sequential deep learning, and predictive ML systems that turn financial, transactional, and behavioral data into personalized experiences and marketing recommendations with an accent on production-scale modeling, experimentation, and MLOps. Focus on designing batch and real-time training and serving infrastructure, optimizing member engagement models, and maintaining reliable AI systems in production.

Location: Chicago, IL; New York, NY; San Francisco, CA; or Seattle, WA, USA. Hybrid work includes four days per week in the office and Fridays from home for employees near an office.

Salary: $172,000–$238,000 base annually, plus bonus, equity, and benefits.

Company

hirify.global is a financial technology company building user-friendly banking services and financial tools for millions of members.

What you will do

  • Develop and deploy sequential deep learning and traditional machine learning models for growth and marketing initiatives.
  • Build predictive models from large-scale financial, transactional, and behavioral datasets to improve personalization and member engagement.
  • Partner with Growth & Marketing, Product, and Engineering teams on strategic AI/ML initiatives.
  • Design and improve infrastructure for training, serving, and monitoring large-scale ML systems in batch and real-time environments.
  • Generate insights and recommendations, and contribute to experimentation frameworks and optimization strategies.
  • Identify technology gaps and opportunities for measurable AI/ML business impact.

Requirements

  • Deep expertise in sequential and deep learning models, particularly for financial or behavioral data beyond traditional NLP applications.
  • End-to-end machine learning lifecycle experience, including training, experimentation, optimization, deployment, and monitoring.
  • Experience developing predictive models with large-scale transactional, financial, or behavioral datasets.
  • Hands-on experience with AWS, SageMaker, Kafka, Airflow, Redis, Snowflake, and Spark.
  • Strong proficiency in Python, SQL, PyTorch, PySpark, distributed computing, and scalable model training.
  • Production MLOps experience and the ability to work independently in ambiguous, cross-functional environments.

Culture & Benefits

  • Four-day in-office policy with Fridays from home near company offices; a fully remote program is also available for eligible employees.
  • Comprehensive health, financial, and wellbeing benefits.
  • Generous vacation policy, company-wide paid days off, and an annual wellness stipend.
  • Backup child, elder, and pet care, plus subsidized commuter benefits for eligible employees.
  • Paid parental leave of up to 22 weeks for birthing parents and 12 weeks for non-birthing parents, plus family planning reimbursement.
  • Equity, bonus eligibility, and an opportunity to build fintech products used by millions of members.

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