
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🔒 Cybersecurity
💊 Pharmaceuticals
Artificial Intelligence • Cybersecurity • Pharmaceuticals
SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $122k - $228k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🔒 Cybersecurity
💊 Pharmaceuticals
Artificial Intelligence • Cybersecurity • Pharmaceuticals
SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.
• Create new agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, and improve their collaboration • Perform classical ML tasks including exploratory data analysis, feature engineering, and model fine-tuning using the latest frameworks • Work closely with Product and Research to translate AI research into applicable features and software engineering projects • Rapidly iterate on prototypes and features based on feedback and evolving product needs • Contribute production-ready code and work across engineering to deliver scalable software • Stay current with agentic developments and explore new opportunities • Break, fix, and harden systems for production • Collaborate with ML experts, security experts, mathematicians, and software engineers • Publish and deploy innovations shaping agentic collaboration and trust
• MSc in Computer Science or related field with exposure to AI/ML • Deep expertise in AI/ML, software engineering, or AI security • Strong programming skills in Python and relevant ML and/or agentic frameworks • Demonstrated ability to work cross-functionally and collaboratively with a high degree of end-to-end ownership, delivering real world outcomes • Ability to pick up other programming languages and technologies as required to ship scalable and reliable software • Candidates cannot participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea • PhD in Computer Science or related field with focus on AI/ML or similar is highly desired • Hands-on experience with agent orchestration, agent harnesses, agent teams, jailbreaking/prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, or detection and monitoring for AI misuse is highly desired • Experience contributing to open source projects is highly desired • Experience in a fast-paced startup environment is highly desired • Experience in cybersecurity is a plus, but not essential • Must be legally authorized to work in the United States • Must state whether company sponsorship or support is required to obtain or maintain a work visa or permit
• Competitive base salary • Performance-based incentives or bonuses (where applicable) • Equity participation • 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 • On-the-job development • Cross-functional collaboration • Access to internal learning and development programs
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