3 дня назад
Senior AI/ML Engineer (Fintech)
172 000 - 238 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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