About the job
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About Us:
Join us in reshaping the financial landscape. At SoFi, we are revolutionizing how individuals engage with personal finance, empowering our members with innovative, mobile-centric solutions. As a pioneering financial services firm and national bank, we leverage cutting-edge technology to help our millions of members achieve their financial aspirations. In an era of unprecedented industry transformation, we take pride in our daily contributions that significantly enrich lives, guided by our core values. Invest in your future, your career, and the financial realm with us.
The Position:
We are looking for a Senior Staff Software Engineer, AI to join our Member Growth team, focused on delivering AI-driven value to SoFi Members. This position is crucial in enhancing our members' financial journeys through advanced personalization and AI solutions. You will spearhead the development of internal frameworks, tools, and applications that elevate our marketing, communication, and measurement capabilities.
Our mission is to guide members towards financial independence by equipping them with the precise tools, resources, and insights they need to thrive. We aspire to be a reliable ally in their financial endeavors, providing timely and personalized insights that cultivate lasting confidence. Achieving this demands a thoughtful, highly customized approach tailored to each member's unique financial circumstances.
The ideal candidate will have extensive expertise in Artificial Intelligence (AI) and Machine Learning (ML) systems, coupled with a fervor for developing next-generation products. At SoFi, we value seamless collaboration between Product, Design, and Engineering; hence, you will engage throughout the entire product lifecycle—from initial concept to deployment and continuous enhancement. We champion a culture of continuous learning and expect you to be equally committed to your professional development and mentoring colleagues.
Your Responsibilities:
Lead technical architecture and design decisions, facilitating cross-functional discussions for AI and ML solutions.
Ensure the delivery of highly available and scalable services in a production environment.

