Staff Security Software Engineer, AI Security

🕒 il y a 29 jours

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🔴 Expert

👮‍♂️ Cybersécurité / Ingénieur Sécurité

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Databricks

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 €1 600 000 000 Series H en 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks est une entreprise spécialisée dans les données et l'IA, offrant une plateforme unifiée pour l'ingénierie des données, l'apprentissage automatique et l'analytique. Elle se concentre sur l'optimisation du traitement des grandes données et aide les organisations à tirer parti d'Apache Spark pour offrir des analyses plus approfondies et des applications puissantes basées sur les données. Databricks propose également des outils robustes et une intégration transparente pour les opérations d'apprentissage automatique.

Description

• As a Staff Security Software Engineer on the AI Security team, you are a senior technical leader who sets the standards for how Databricks secures its AI and ML capabilities. • You lead AI red team engagements against production AI systems, conduct security architecture reviews for complex, multi-system AI features, and build the tooling and frameworks that scale the team's impact. • You are a subject matter expert in at least two AI security domains and you operate with significant autonomy- driving cross-team remediation, setting technical standards, and mentoring teammates in both offensive techniques and secure AI design.

🎯 Exigences

• 7–10 years of combined experience in offensive security, AI/ML security research, or product security engineering, with demonstrated leadership in securing complex systems • Subject matter expert in at least two of the following AI security domains: • - LLM and generative AI security (prompt injection, jailbreaking, training data extraction) • - AI agent and orchestration security (MCP, memory sharing, multi-agent systems) • - ML infrastructure and serving security (model serving multi-tenancy risks, training infrastructure security) • - AI data governance and privacy (fine-grained access control, data residency, inference data isolation) • Demonstrated ability to design and execute adversarial attacks against production AI systems • Deep understanding of AI/ML platform architecture- how models are trained, served, and integrated, and where the trust boundaries between components lie • Expert in at least one major cloud platform (AWS, Azure, GCP) and its AI/ML security model • Proficient in Python; able to read and analyze ML model code, training scripts, and API serving code; working knowledge of at least one additional language (Go, Java, Scala, Rust) • Track record of driving cross-team AI security improvements and influencing product architecture decisions • Experience building automated security tooling for AI systems • Strong communicator- translates AI security risks into actionable guidance for engineers, product managers, and leadership • Pragmatic approach to risk- distinguishes real-world exploitable AI risk from theoretical concerns.

🏖️ Avantages

• Comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.