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Threat Detection & Analysis Engineer

Bumble
London
3 months ago
Applications closed

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Senior Machine Learning Engineer

Staff Machine Learning Engineer, Anomaly Detection

Bumble is looking for aThreat Detection and Analysis Engineerto join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely this means you will be analysing data to prevent unintended uses for products that provide a safe and engaging experience for our users, and improve the way Bumble operates.

As a member of theBumble Trust Engineeringteam, you are the first line of detection of bad actors using Bumble in unwanted and unexpected ways. As Bumble’s customer base and suite of products grow, protecting customers from threats and scams becomes an ever more important problem. The Trust Engineering team develops and uses tooling to tease out high-quality signal from all the noise, to detect unwanted behaviours. Your work directly impacts customers.

Trust & Safety

We are part of the Trust & Safety Engineering group, a cross-functional team of 40+ engineers, scientists and machine learning professionals that help grow kind, healthy & equitable connections by designing and operationalizing the safest and most trusted connections platform in the industry. We partner with the wider business to create and share tooling, knowledge, and best practices around Trust and Safety technology while undertaking special product and development initiatives designed to improve the actual safety and felt experience of safety of members across our products. We’re known by the wider industry as experts in our field, and give back to the community through thought leadership, information sharing, and open-sourcing.

What you will be doing:

  • Analyse data across Bumble Inc products and implement logic for proactive discovery and prevention of threat actors and unwanted activity
  • Develop new analytics and dashboards to visualise and surface data for analysis, reporting, and planning
  • Develop and execute code to: modify data tables, automate database queries, surface and analyse logs, perform password resets and sanction users
  • Investigate complex instances of abuse cases, working cross functionally from initiation of a case through to providing a solution
  • Surface unwanted activity in the customer space, both proactively and reactively, using relevant log sources
  • Utilise existing data and tools to hunt for threats in our environment whilst advocating for changes to our ecosystem to continuously update tooling
  • Collaborate within team to surface requirements for trust capabilities
  • Work with Bumble Inc products to understand functionality, and where bad actors could take advantage, to support improved detective tools
  • Expose and present measurable data to internal and external partners to improve Bumble’s ability to detect future threats

What you should have:

  • Proficiency working with data technologies that power analytics (e.g. MySQL, Kafka, Presto, Pinot, or similar technologies)
  • Practical experience mining and cleaning large, unstructured datasets, then extracting meaningful and actionable insights, presenting results to an audience of various backgrounds
  • Experience with a high-level programming language such as Python or Go
  • Bachelor's degree in Computer Science, Engineering, Mathematics or a related field, equivalent training, fellowship, or work experience is required
  • Experience understanding bad actors, threat intelligence, and abuse; involvement in remediating abuse or security-related incidents is a plus
  • Experience with Linux, Kibana, and engineering fundamentals at scale such as AWS, Chef, and Terraform is a plus
  • Experience with behavioural analytics preferably in a trust, security, or privacy environment, with a focus on customer-facing environments is a plus

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