Staff Software Engineer, Core Matching, Machine Learning

Bumble Inc.

Machine Learning Engineer driving next-generation AI solutions for Bumble’s dating platform. Collaborating in a dynamic team to enhance user experiences and relationships online.

Posted 7/21/2026full-timeAustin • Texas • 🇺🇸 United StatesLead💰 $255,000 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in designing and operating high-scale distributed systems, with a strong focus on recommendation systems and cloud-native architectures. Proven ability to mentor engineers, influence technical direction, and drive long-term platform evolution while maintaining high engineering standards.

Highest-signal resume keywords

Large-Scale Distributed SystemsRecommendation SystemsGoogle Cloud Platform (GCP)Technical LeadershipMentoring Senior Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GoKotlinJavaCloud-Native SystemsScalabilityResilienceObservabilityOperational ExcellenceAI FluencyTechnical Strategy

Soft Skills

CollaborationInfluencing Technical DirectionSound Technical Judgment

Industry Keywords

Engineering QualityFeedback LoopsCandidate GenerationFeature ServingExperimentation

Tech Stack

Tools & technologies

CloudDistributed SystemsGoGoogle Cloud PlatformJavaKotlin

About the role

Key responsibilities & impact

Own the technical direction for Bumble’s recommendations platform, evolving the systems that service recommendations for millions of members.
Lead the design of large-scale distributed systems that power recommendations across multiple teams and domains.
Identify and solve the highest-leverage technical problems across the recommendations stack.
Raise the bar for engineering quality through technical leadership.
Multiply the impact of other engineers by mentoring senior engineers and influencing technical direction across teams.
Drive platform evolution for the long term by leading foundational initiatives.
Remain deeply technical through hands-on contribution.

Requirements

What you’ll need

Typically requires 8+ years of building large-scale backend or distributed systems, with experience delivering complex technical initiatives that span multiple teams.
Deep expertise in designing and operating high-scale distributed systems, with strong experience in modern languages such as Go, Kotlin, Java, or similar, and a track record of building reliable production platforms.
Strong understanding of recommendation systems, ranking architectures, or other large-scale decision systems, including concepts such as retrieval, candidate generation, ranking, feature serving, experimentation, and feedback loops.
Experience building cloud-native systems on Google Cloud Platform (GCP) or comparable public cloud infrastructure, with deep knowledge of scalability, resilience, observability, and operational excellence.
Demonstrated ability to define technical strategy and influence architectural direction across multiple engineering teams through expertise, collaboration, and sound technical judgment rather than organizational authority.
Proven experience partnering closely with Product, Data Science, Machine Learning, and Engineering leadership to translate ambiguous business problems into durable technical solutions.
A track record of mentoring senior engineers, raising engineering standards, and creating leverage by improving systems, tooling, architecture, and the effectiveness of the wider engineering organization.
Strong AI fluency, using modern AI-assisted engineering tools to improve productivity while applying thoughtful human judgment, maintaining high engineering standards, and ensuring member trust remains central to every technical decision.

Benefits

Comp & perks

Medical/dental/vision insurance, 30-day eligibility
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Fully paid life and long-term disability insurance
401k with 4% company match if you contribute 6%, 90-day eligibility
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Maternity and Fertility benefit + 26 week paid parental leave
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