Senior ML Engineer: AI-Driven Recommendations Platform

Bumble Inc.

Austin (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Bumble Inc. is seeking a senior machine learning/backend engineer to own the recommendations platform, shaping systems for millions of users.

You will lead architectural decisions, drive scalable design, and mentor teams to raise engineering standards while delivering AI-powered experiences. Based in Austin, TX, you’ll collaborate with product, data science, and ML leadership to translate complex problems into durable technical solutions.

Qualifications

  • 6+ years of building large-scale backend or distributed systems.
  • Deep expertise in designing and operating high-scale distributed systems.
  • Experience with Go, Kotlin, Java or similar languages.

Responsibilities

  • Own the technical direction for Bumble’s recommendations platform, focusing on retrieval, ranking, and serving.
  • Lead design of large-scale distributed systems serving millions of members.
  • Identify and solve high-leverage technical problems across the recommendations stack.
  • Raise engineering quality through architectural principles, observability, and operational excellence.
  • Mentor senior engineers and influence technical direction across teams.
  • Drive platform evolution with service decomposition, tooling, and AI-assisted engineering.
  • Contribute hands-on code and prototypes for critical components of the platform.

Skills

Distributed systems
Go
Kotlin
Java
Architectural design
Technical leadership
AI fluency
Mentoring engineers
Product collaboration

Tools

GCP

Job description

Bumble Inc. is seeking a senior machine learning/backend engineer to own the recommendations platform, shaping systems for millions of users.

You will lead architectural decisions, drive scalable design, and mentor teams to raise engineering standards while delivering AI-powered experiences. Based in Austin, TX, you’ll collaborate with product, data science, and ML leadership to translate complex problems into durable technical solutions.

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