MACHINE LEARNING OPERATIONS ENGINEER

$190,000 - $215,000/Yr

Harnham - New York, NY

Full-time - Mid Level

New York, NY

11-50 employees

Professional, Scientific, and Technical Services

About the position

As a Machine Learning Operations Engineer at our fast-growing FinTech startup, you will play a pivotal role in the development of our innovative AI-powered accounting platform. This position is based in the bustling heart of Manhattan, New York, and requires you to work on-site five days a week. You will be a founding member of a streamlined team, contributing to the design and implementation of our data infrastructure from the ground up. Your primary focus will be on ensuring data accuracy and reliability, which are crucial for the success of our platform. In this role, you will be responsible for building a major data infrastructure platform using Python, maintaining the platform's reliability over time, and developing fail-resistant data pipelines. You will also organize, scale, and maintain various data models that operate in tandem, ensuring that our AI platform functions seamlessly. Your contributions will directly impact the growth and success of the organization as we navigate through multiple rounds of funding and expand our operations.

Responsibilities

• Building a major data infrastructure platform from the ground up, primarily using Python.
• Maintaining platform reliability over time.
• Developing and maintaining crucial, fail-resistant data pipelines.
• Organizing, scaling, and maintaining many data models that operate in tandem.

Requirements

• Strong background in Machine Learning with an emphasis on infrastructure engineering projects.
• Experience in accounting and financial data infrastructure.
• Familiarity with the process of growing a startup through multiple rounds of funding.
• Highly proficient in Python.
• Experience completing a major data infrastructure project from start to finish.
• Comfortable working in a busy, pioneering environment.

Benefits

• An annual salary of $190,000 - 210,000 depending on experience.
• Above-market-standard compensation, benefits, and equity package.
• 401k, health, vision, and dental insurance.
• The ability to make a direct impact on a quickly growing organization.