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Staff TLM Backend for ML Threat Detection - Job Opportunity at Uber

Amsterdam, Netherlands
Full-time
Senior
Posted: January 18, 2025
On-site
EUR 120,000 - 180,000 per year based on Amsterdam market rates for Staff-level engineering roles in tech giants

Benefits

Industry-leading AI/ML technology exposure
Opportunity to shape cybersecurity strategy
Career development through team leadership
Work with cutting-edge security platforms
Cross-functional collaboration opportunities

Key Responsibilities

Lead architectural design and implementation of AI-powered security platforms
Drive technical roadmap development and project management for cyber defense initiatives
Mentor and develop engineering team members
Design scalable backend systems for threat detection
Integrate AI/ML models into production security systems
Collaborate with security experts to translate requirements into technical solutions

Requirements

Education

Master's or PhD degree in Computer Science, Engineering, or related field (preferred)

Experience

8+ years of software development

Required Skills

C++ Java Python Go Backend software architecture Cloud technologies (AWS, Azure, GCP) Containerization (Docker, Kubernetes) AI/ML technologies and frameworks Cybersecurity concepts
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Sauge AI Market Intelligence

Industry Trends

AI-driven security solutions are experiencing rapid adoption, with a projected CAGR of 23.6% through 2027 Increasing integration of ML models in real-time threat detection systems is reshaping traditional security operations Growing demand for automated response capabilities in large-scale distributed systems Shift from rule-based to AI-powered anomaly detection in cybersecurity

Role Significance

Typically leads a team of 5-8 engineers, with matrix management responsibilities across security and ML teams
Staff-level position indicating high strategic importance, typically reporting to engineering director or VP level. Role combines technical leadership with strategic security planning.

Key Projects

Implementation of next-generation AI security platforms Development of automated threat response systems Integration of GenAI capabilities into security operations Architecture of scalable security data processing pipelines

Success Factors

Deep understanding of both ML systems and security architecture Ability to balance technical excellence with team leadership Strong cross-functional communication skills Experience with large-scale distributed systems Track record of delivering complex security solutions

Market Demand

Very high demand with significant growth trajectory. The intersection of AI/ML and cybersecurity expertise is particularly sought after, with demand outpacing available talent by roughly 3:1

Important Skills

Critical Skills

Deep expertise in distributed systems architecture Production ML system experience Security threat modeling and analysis Large-scale data processing Team leadership and technical mentorship

Beneficial Skills

Knowledge of regulatory compliance frameworks Experience with real-time streaming systems Familiarity with blockchain security Background in anomaly detection algorithms

Unique Aspects

Rare combination of AI/ML and security focus at staff level
Opportunity to influence security strategy at global scale
Direct impact on protecting millions of daily transactions
Access to massive real-world data sets for ML security applications

Career Growth

Typical progression to next level in 3-4 years with successful project delivery and team scaling

Potential Next Roles

Principal Security Engineer Engineering Director - Security Chief Security Architect VP of Security Engineering

Company Overview

Uber

Uber is a global technology leader in mobility and delivery platforms, processing millions of transactions daily requiring robust security infrastructure

Leading technology company with significant investment in AI/ML capabilities and cybersecurity infrastructure
Amsterdam office serves as a key technical hub for European operations with significant engineering presence
Fast-paced, innovation-focused environment with emphasis on technical excellence and scalable solutions
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