1 day ago
Berlin, Germany +2 moreMid Level
Responsibilities
- Secure the end-to-end ML lifecycle against threats such as data poisoning and model-weight theft.
- Design and deploy prompt-injection defenses, runtime firewalls, and AI Security Posture Management for models, datasets, and proprietary endpoints.
- Embed secret scanning, API exposure checks, software composition analysis, and other security guardrails into CI/CD workflows.
- Implement Infrastructure as Code security policies and ensure cloud resources comply with applicable standards such as GDPR and SOC2.
- Manage secrets and vulnerability patching for Docker and Kubernetes environments.
- Design least-privilege IAM controls for sensitive training data and research workloads.
- Lead incident response, monitor production logs for anomalies, and collaborate with AI Researchers on rapid remediation.
- Provide local IDE security scanning and pre-commit tooling while educating engineering and research teams on security practices.
Requirements
- At least 3 years of experience in a DevSecOps, Cloud Security, or Site Reliability Engineering role.
- Experience building and securing CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins.
- Strong proficiency with Infrastructure as Code tools such as Terraform or Pulumi.
- Experience securing cloud environments using AWS, GCP, or Azure.
- Deep understanding of container security and orchestration with Docker and Kubernetes.
- Practical knowledge of security frameworks and their implementation in development environments.
- Experience with AI-specific security tools or LLM-specific vulnerabilities such as the OWASP Top 10 for LLMs is preferred.
- Experience with AI Security Posture Management tools is preferred.
- Relevant certifications such as AWS Certified Security, CSEP, or OSCP are preferred.
- Background or personal interest in materials science, chemistry, AI, or physical sciences is a bonus.
Benefits
- Hybrid work from the Cambridge, London, Amsterdam, or Berlin office with an expectation of three days per week in the office.
- At least a few weeks of onboarding in the Cambridge/London office and potential regular travel to Europe and other regional or global locations.
- Equity in CuspAI.
- 28 days of holiday in Germany, the Netherlands, and the UK, or 21 days in Japan, Singapore, and the US, in addition to local public holidays.
- 26 weeks of fully paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
- Professional development budget.
- Work on interdisciplinary AI, materials science, computational chemistry, and sustainability projects.
Tech Stack
Categories
About CuspAI
CuspAI builds an AI-driven materials discovery platform that helps R&D teams in chemicals, energy, and manufacturing design and evaluate novel molecules and materials. The company offers software and models accessed via cloud APIs and collaborations to prioritize candidates, guide experiments, and shorten lab cycles. Founded in 2024 and headquartered in Cambridge, it is a privately held startup focused on applying generative and physics-informed AI to sustainability and next‑generation materials problems.