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Haste

AI Security Researcher

Korntal-Münchingen Posted today

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Skills this job asks for

Machine learningPythonLLMsExcelTranslationData engineeringEnglish

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Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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About the role

About the Role As an AI Security Researcher, you bring deep expertise in AI/ML security, software development in Python, backed by a minimum MSc in Machine Learning, Computer Science, or related discipline. You have hands-on experience with AI workloads, large language models, training frameworks, advanced optimization algorithms, GPU clusters, and ideally SLURM in HPC environments. You excel at modeling AI threats—model/data poisoning, permission escalation, backdoors, data drift attacks, prompt injection—and translating them into practical security defenses. You will be one of Haste's first AI security researchers pioneering defenses for trillion-parameter AI training environments alongside HPC and quantum workloads. Key Responsibilities • Adversarial Threat Research: Investigating emerging attack vectors and developing techniques to uncover vulnerabilities in AI models, data pipelines, and infrastructure. • Threat Modeling & Risk Analysis: Mapping and characterizing potential threats across the AI lifecycle—from data ingestion to deployment—to prioritize security investments. • Developing Defenses & Guardrails: Designing and implementing detection logic and researching mitigation methods to AI threats. • Collaborating with Engineering Teams: Translating research findings into actionable, production-grade security requirements for product teams, ensuring threat detection makes sense. • Documentation & Reporting: Creating technical reports, whitepapers, and proof-of-concept (PoC) exploits to document vulnerabilities and share findings within the organization or to the public. • Monitoring AI Ecosystem Trends: Staying updated on the latest AI security standards, frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS), and academic research. Requirements • University degree in AI/ML or relevant discipline. • Current residence in Germany or Austria. • Full-time availability from December 1, 2026, remote from Germany or Austria only. Find more English Speaking Jobs in Germany on Arbeitnow

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