A money app for the majority. Tala bridges digital and cash ecosystems to help customers seamlessly manage their financial lives, all in one app. Backed by GV and IVP.
About the role
We’re looking for a Manager, Machine Learning Engineering to lead Tala’s ML Platform team. This person will manage a team of Machine Learning Engineers responsible for building the platforms, frameworks, and infrastructure that enable our Data Science teams to securely train, deploy, monitor, and operate machine learning models at scale.
What they're looking for
- 2+ years of directly managing engineers, including hiring, performance management, coaching, and career development
- Experience managing a team through at least one full performance cycle
- Demonstrated ability to coach engineers toward promotion and address underperformance effectively
- Experience owning team goals, prioritization, estimation, and delivery
- Experience with production on-call, incident response, and capacity planning
- Willingness to be actively involved in sourcing, interviewing, and closing engineering talent
More about this role
About Tala
Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia—building one of the most robust datasets on thin-file borrowers anywhere in the world. Our mission is simple yet bold: to unleash the economic power of the global majority. We are looking for daring, data-driven leaders passionate about building the trust and credit infrastructure for the global majority.
Our pioneering work and proven impact have earned us consistent recognition, including being named to:
CNBC’s Disruptor 50 for five years.
CNBC’s World's Top Fintech Companies for two consecutive years.
Forbes’ Fintech 50 list for nine consecutive years.
Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.
Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa...
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