Affirm

About Affirm

Transparent financing for modern consumers

🏢 Tech, Finance👥 1001+ employees📅 Founded 2012📍 Chinatown, San Francisco, CA💰 $1.1b3.8
FintechB2CPersonal financePaymentsSaaS

Key Highlights

  • 21M+ consumers and 337,000+ merchants using Affirm
  • Raised $1.1B in funding, currently in Series F
  • Flexible payback options from 3 to 36 months
  • Headquartered in Chinatown, San Francisco, CA

Affirm, headquartered in Chinatown, San Francisco, CA, is a leading fintech company specializing in point-of-sale installment loans. With over 21 million consumers and 337,000+ merchants including Shopify, KAYAK, and Walmart, Affirm offers flexible payback options ranging from 3 to 36 months. The co...

🎁 Benefits

Affirm offers a remote-first workforce policy, allowing employees to work from anywhere in their home country. Benefits include 18 weeks of paid paren...

🌟 Culture

Affirm's culture is centered around transparency and consumer empowerment, with a focus on delivering honest financial products. The company actively ...

Affirm

Machine Learning Engineer Senior

AffirmUnited States - Remote

Posted 1 month ago🏠 RemoteSeniorMachine Learning Engineer📍 United States💰 $260,000 - $310,000 / yearly
Apply Now →

Overview

Affirm is seeking a Senior Staff Machine Learning Engineer to lead the design and implementation of advanced ML systems. You'll work with Python, AWS, and TensorFlow to drive critical decisions across the company. This role requires extensive experience in machine learning and system architecture.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in designing and implementing advanced ML systems. Your expertise in Python and familiarity with cloud platforms like AWS enable you to build scalable solutions that meet business needs. You have a proven track record of mentoring engineers and guiding teams through complex, ambiguous challenges, ensuring clarity and direction in your projects.

Your deep understanding of machine learning frameworks such as TensorFlow and Keras allows you to develop innovative models that drive impactful decisions. You are passionate about responsible AI and committed to creating inclusive financial products that enhance user experience. You thrive in collaborative environments, working closely with cross-functional teams to align technical strategies with company goals.

Desirable

Experience with large-scale data processing and familiarity with data engineering principles will set you apart. Knowledge of additional ML tools and libraries, as well as a background in financial services, would be beneficial but not required. You are eager to stay updated with the latest advancements in machine learning and apply them to real-world problems.

What you'll do

In this role, you will define and drive the technical strategy for machine learning at Affirm, ensuring alignment with company-wide priorities. You will lead the design and implementation of advanced ML systems, setting the architectural direction for complex, cross-functional projects. Your contributions will elevate Affirm's modeling capabilities and influence the roadmaps of partner teams and platforms.

You will collaborate with ML Platform, engineering, product, and risk leaders to design, implement, and scale modeling approaches that drive critical decisions across the company. Your role will involve mentoring senior engineers, fostering a culture of innovation and continuous improvement within the team. You will also be responsible for ensuring that our systems can support increasingly sophisticated workloads, contributing to a cohesive long-term ML strategy.

What we offer

At Affirm, you will be part of a mission-driven team dedicated to revolutionizing financial services with transparency and inclusivity at its core. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a supportive environment that values collaboration and encourages you to bring your best ideas to the table. Join us in shaping the future of machine learning and making a positive impact on the financial landscape.

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