What are the responsibilities and job description for the Machine Learning Engineering Manager, Personalization position at Cash App?
Machine Learning Engineering Manager, Personalization
Remote
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
Bay Area, CA, US
Posted Date : 12 / 10 / 24
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay / Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
We are looking for an engineering manager to join and lead Cash App’s Personalization ML Engineering team. This group oversees all personalization ML engineering work for Cash App & Afterpay, including recommendations, search retrieval / ranking, growth incentives, cross / up-sell, etc.
You will partner closely with our most senior product and modelling leads on how to incorporate machine learning into the development of new features and identify opportunities to leverage AI to personalize and enrich our existing products and features.
You Will
- Grow, lead, and mentor a team of machine learning engineers
- Provide both technical and career guidance for each individual on your team
- Partner very closely with your machine learning modeling EM counterpart on roadmapping, prioritization, goals, etc.
- Partner and collaborate closely with Cash App’s and Afterpay’s senior-most product and business leaders
- Work with your team to identify new opportunities, develop prototypes, achieve buy-in from partners, and deliver production-ready ML solutions that have a large impact on the business
- Effectively communicate your team’s work with senior leadership and the executive team on a regular basis
- Contribute directly to quarterly and annual strategic plans
- Stay up-to-date with the latest state-of-the-art techniques in AI (e.g. LLMs and generative AI more broadly) and foster a culture of learning within the organization
- Help shape Block’s overall ML and AI strategy
You Have
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
J-18808-Ljbffr