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Home›Jobs›Flex›Sr. Staff AI/Machine Learning Engineer
Flex

About Flex

Empowering renters with flexible payment solutions

🏢 Retail👥 501-1000 employees📅 Founded 1969📍 Midtown Manhattan, New York, NY💰 $225.1m⭐ 3.1
B2BPaymentsRentingFinancial ServicesMobile

Key Highlights

  • Raised $225.1 million in Series B funding
  • Headquartered in Midtown Manhattan, New York, NY
  • Serves a growing customer base with innovative payment solutions
  • Offers unlimited paid time off and comprehensive health benefits

Flex is a mobile application designed to provide renters with flexible payment options for their rent, allowing users to reschedule payments and protect their funds with Overdraft Protection. Headquartered in Midtown Manhattan, New York, Flex has raised $225.1 million in Series B funding and serves ...

🎁 Benefits

Flex offers a range of benefits including unlimited paid time off, 100% company-paid medical, dental, and vision coverage, and a 401(k) plan with comp...

🌟 Culture

Flex fosters a culture focused on financial empowerment and flexibility for renters, emphasizing the importance of addressing the challenges of monthl...

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Flex

Sr. Staff AI/Machine Learning Engineer

Flex • Remote (U.S.)

Posted 2d ago🏠 RemoteSeniorAi engineer📍 United states
Apply Now →

Skills & Technologies

Machine learningPythonTensorFlowKeras

Overview

Flex is seeking a Senior Staff AI Engineer to lead the development of scalable machine learning models for fintech applications. You'll work with technologies like Python and TensorFlow to drive business growth. This role requires significant experience in AI and machine learning.

Job Description

Who you are

You have 5+ years of experience in AI and machine learning, with a strong background in developing and deploying machine learning models in production environments. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build scalable solutions that deliver real business value. You thrive in collaborative settings, working closely with data scientists and engineers to implement innovative AI solutions that enhance user experiences.

You possess a deep understanding of the full machine learning lifecycle, from data exploration and model training to evaluation and deployment. Your analytical mindset enables you to identify opportunities for improvement and optimization in existing systems. You are passionate about leveraging technology to solve complex problems and improve processes within the fintech space.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data engineering practices. You are comfortable working in a fast-paced environment and are eager to stay updated with the latest advancements in AI and machine learning technologies.

What you'll do

In this role, you will lead the design, development, and deployment of machine learning models that drive high-impact applications within the fintech sector. You will oversee the entire ML lifecycle, ensuring that models are not only effective but also scalable and maintainable. Collaborating with cross-functional teams, you will translate business requirements into technical specifications, guiding the implementation of state-of-the-art AI solutions.

You will be responsible for monitoring model performance and making necessary adjustments to improve accuracy and efficiency. Your role will also involve mentoring junior engineers and fostering a culture of innovation and continuous improvement within the team. By leveraging your expertise, you will contribute to the strategic direction of AI initiatives at Flex, helping to shape the future of rent payment solutions.

What we offer

Flex provides a competitive benefits package, including medical, dental, and vision coverage from day one. You will have the opportunity to participate in a company equity program and a 401(k) plan with a company match starting in 2026. Enjoy unlimited paid time off along with 13 company-paid holidays, parental leave, and access to the Flex Cares Program. Join us in our mission to empower renters with flexibility and innovation in their financial lives.

Interested in this role?

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