AI Safety Red Teamer stress - testing Mercor’s frontier AI models. Identifying vulnerabilities, jailbreaks, hallucinations, and policy failures through adversarial evaluation.
About the role
- Staff Forward Deployed Engineer in AI simulation at SandboxAQ, ensuring technical success of key partnerships. Collaborating with scientists to tackle drug discovery and chemical simulation challenges.
Responsibilities
- Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts.
- Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows.
- Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements.
- Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle.
- Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges.
Requirements
- 7+ years of professional software development experience, with deep proficiency in Python and modern architectural patterns.
- Proven ability to operate independently in high-ambiguity environments, moving from ideation to functional code with high velocity.
- Hands-on experience with cloud orchestration (Kubernetes, Batch systems) and workflow management tools like Airflow.
- Technical expertise in building REST APIs, managing database systems (ORMs, schemas), and utilizing Infrastructure as Code (Terraform).
- Entrepreneurial mindset with a track record of shipping systems in fast-moving, customer-facing environments.
- Domain expertise in drug discovery, cheminformatics, or advanced materials is highly desired.
- Experience delivering scientific code for R&D projects involving simulation or numerical optimization is highly desired.
- Familiarity with High-Performance Computing (HPC), GPU programming, and optimization is highly desired.
- Exposure to AI applications involving knowledge graphs, AI agents, or multi-agent systems is highly desired.
Benefits
- Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
- Retirement savings with company matching
- Paid parental leave
- Inclusive family-building benefits
- Flexible paid time off
- Company-wide seasonal breaks
- Support for flexible work arrangements that enable sustainable performance
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs
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