Machine Learning Engineer - Seattle, WA, United States - Storm2

Description

Role:
Machine Learning Data Engineer Specialist (Open to all levels)


Industry:
FinTech (Payments/Embedded finance)


Location:
Hybrid-Seattle/Bellevue, WA area

Salary:
$150,000 - $220,000 base + bonus + RSUs (contingent)

A leading FinTech focusing on Embedded finance solutions is looking for a Machine Learning Specialist who can address issues like credit card fraud, money laundering, identity theft...

Having raised nearly $50M with backing from top investors (Goldman Sachs, Mastercard and B Capital Group), they recently got acquired by one of the biggest global payment companies.

Following the acquisition, they are actively expanding on all fronts.


Responsibilities:

Working on large volumes of transactional and customer data and ensure they are collected, stored, and processed from a variety of sources through the design, construction, and management of data pipelines and infrastructure.

Create, implement, and scale applications and models for machine learning in lower and production environments.

Connect ML models to the SaaS platform, as well as to other tools and services including event streams, feature stores, model registries, and data lakes.

Work closely with data scientists to create and evaluate machine learning models


Qualifications:
More than 10 years of experience in machine learning engineering.
Bachelor's or Master's degree in Engineering, Mathematics, Computer science, or a similar discipline.
Strong Java and Python programming skills
Familiarity with data pipelines and data management
Familiarity with data sources for financial services.
Prior AWS, Snowflake, and Databricks experience
Payments and Fintech experience is a plus


Why apply:
An opportunity to work with stability provided by a large firm
Competitive salary (Equity- (contingent)+ bonus)
Company matched 401(k)
Open collaborative team to work around
Healthcare benefits
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