Software Engineer,AI Engineer,Machine Learning/ ML Engineer Job Amsterdam area,North Holland Netherlands,IT/Tech

Position: Staff Software Engineer

About the Role

We’re looking for a Staff Software Engineer to lead the design and development of systems at the intersection of Security and AI
. This team builds intelligent systems that proactively detect, prevent, and respond to security and privacy risks across code, data, infrastructure, and AI-powered products.

As a Staff Engineer, you will operate as a technical leader—owning critical architecture, driving complex initiatives end-to-end, and setting the standard for engineering excellence across the team.

What the Candidate Will Do

Lead the architecture and development of large-scale systems for risk detection, classification, and automated remediation

Drive end-to-end technical initiatives
, from problem definition through production deployment and iteration

Design systems that leverage ML/AI techniques to improve security signal quality, reduce false positives, and scale detection capabilities

Build and evolve platform capabilities that integrate security signals into developer workflows and infrastructure

Partner closely with engineers, applied scientists, and product stakeholders to translate ambiguous problems into scalable solutions

Act as a technical mentor and multiplier
, raising the bar for design, code quality, and operational excellence across the team.

Basic Qualifications

Strong experience building and scaling distributed systems or platform infrastructure

Proven ability to lead complex technical projects with significant cross-team dependencies

Deep expertise in system design, reliability, and performance at scale

Ability to operate effectively in ambiguous, fast-moving problem spaces

Experience working with or alongside ML/AI systems (e.g., classification, anomaly detection, LLM-powered workflows)

Strong communication skills and ability to influence technical direction beyond your immediate team

Preferred Qualifications

Experience in security, privacy, or trust-related systems

Familiarity with LLMs or GenAI systems in production

Background in risk detection, fraud, or anomaly detection systems

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in‑office expectations for this role.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to

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Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Software Engineer, AI Engineer, Machine Learning/ ML Engineer