Machine Learning Engineer
About the Client
Our client is a global enterprise software provider serving more than 1,500 customers across financial services, government, media, and IT.
The company provides enterprise-grade PostgreSQL solutions and managed cloud services. Its solutions help organizations modernize applications, migrate databases from legacy systems, and operate across hybrid and multi-cloud environments.
The platform unifies transactional, analytical, and AI workloads while ensuring security, compliance, and high availability, with built-in AI capabilities.
About the Team
You will join the Governance team, responsible for building detection models for adversarial and unreliable agent behavior — injection, jailbreak, poisoned-input, and hallucination detection.
Responsibilities
- Train and harden classifiers on adversarial data for injection/jailbreak and poisoned-input detection.
- Build hallucination detection and reasoning-hardening techniques.
- Contribute detection signal into audit log confidence scoring and the escalation queue.
Requirements
- Adversarial ML experience (attack detection, robustness, classifier training on adversarial data).
- Strong expertise in PostgreSQL and solid SQL skills.
- Security mindset and comfort working in fully audited environments.
- Fluent English, both written and spoken.
Nice to Have
- NLP / embedding-space depth — semantic similarity attacks, embedding-based anomaly detection
Location
- Fully remote.
- Candidates must be based in the EU or the Americas.
What We Offer
- Fully remote work.
- A professional, supportive, and friendly team.
- Long-term employment with competitive compensation based on experience.
- Continuous knowledge sharing with engaged co-workers.