
Head of AI
STARK Deutschland8 hours ago
Berlin, Germany or Munich, GermanyStaff+
Responsibilities
- Define and own STARK’s AI strategy across product and internal domains.
- Lead AI stack, model, framework, MLOps infrastructure, evaluation, and tooling decisions with final technical accountability.
- Resolve cross-team AI dependencies, shared infrastructure gaps, and redundant workstreams.
- Drive internal AI adoption through developer productivity tooling, agent and automation infrastructure, and responsible-use frameworks.
- Provide technical oversight of AI workstreams, including methodology, adversarial robustness, distribution shift, and operational performance.
- Monitor academic and commercial AI advances and translate them into strategic recommendations.
- Partner with programme and product leadership to align AI development with mission requirements.
- Contribute to senior technical hiring, define AI engineering standards, and build STARK’s defence-AI standing.
- Represent STARK externally at defence, robotics, and AI venues and through relevant publications or presentations.
Requirements
- Degree in machine learning, computer vision, robotics, or a closely related field, or demonstrably equivalent depth through industry research and an open publication or open-source record.
- Proven experience setting AI technical strategy at a senior level across multiple domains.
- Deep technical fluency in perception and sensor fusion, autonomy and motion planning, SLAM/localisation, or multi-agent coordination.
- Strong experience influencing technical decisions without direct line authority and working with Technical Leads.
- Experience in defence, aerospace, or another safety-critical domain where AI failure has real-world consequences.
- Direct UAS or ground-robotics experience is strongly preferred.
- Fluent English; working German is advantageous in Berlin or Munich.
- Eligibility for the required security clearance.
- An existing European defence-AI network, staff- or principal-level AI experience, public technical work, or open-source experience is desirable.
- Ability to operate autonomously with low overhead and without a large dedicated team.