
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
đź”’ Cybersecurity
đź’Š 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.
🔥 0 minutes ago
🇨🇦 Canada – Remote
đź’µ CA$143k - CA$252k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🤖 AI Engineer
đź‘» Ghost score 0%
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
đź”’ Cybersecurity
đź’Š 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.
• Lead and grow a small, highly technical team while remaining deeply involved in hands-on engineering and research • Set technical direction, break down ambiguous problems, establish practical plans for fast, high-quality execution, and build a culture of ownership and high standards • Create agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents • Stay current on agentic developments and identify new opportunities • Perform exploratory data analysis, feature engineering, and model fine-tuning • Rapidly iterate on prototypes and features based on feedback and evolving product needs • Work closely with Product and Research to translate AI research into applicable features and software engineering projects • Contribute production-ready code and technical designs across engineering to deliver scalable, reliable software • Help set technical direction, raise the quality bar, mentor team members, and move from research insight to product impact
• BSc 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 • Hands-on experience with at least one of: agent orchestration, agent harnesses, agent teams, jailbreaking/prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse • Experience contributing to open source projects • Experience in a fast-paced startup environment • Candidates cannot participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea • Must be legally authorized to work in the country where the job is located • PhD in Computer Science or related field with focus on AI/ML or similar is highly desired • Experience in cybersecurity is a plus, but not essential
• 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 • Fully remote work • 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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