
51 - 200 Mitarbeiter
GegrĂĽndet 2021
🤖 Künstliche Intelligenz
đź”’ Cybersecurity
đź’Š Pharmazie
Artificial Intelligence • Cybersecurity • Pharmaceuticals
SandboxAQ ist ein Unternehmen, das quantitative KI- und quanteninspirierte Technologien entwickelt, um reale Probleme in den Bereichen Arzneimittelforschung, Materialwissenschaft, Cybersicherheit und Navigation zu lösen. Sie erstellen große quantitative Modelle (LQMs), die auf physikalischen und chemischen Grundlagen beruhen, um molekulare Eigenschaften vorherzusagen, therapeutische Designs zu beschleunigen und komplexe chemische und katalytische Prozesse zu simulieren, während sie auch ihr Fachwissen in KI und Post-Quanten-Kryptografie einsetzen, um digitale Sicherheit und Navigation in GPS-losen Umgebungen zu verbessern.
đź•’ vor 14 Tagen
🇨🇦 Kanada – Remote
đź’µ CA$143.000 - CA$252.000 / Jahr
⏰ Vollzeit
🟡 Mittelstufe
đźź Senior
🤖 KI-Ingenieur
đź‘» Geisterscore 0%
🗣️🇺🇸🇬🇧 Englisch erforderlich
Woher diese Stelle stammt
Veröffentlicht auf der Karriereseite von SandboxAQ, nicht über eine Jobbörse
Von Remote Rocketship zum ersten Mal gesehen vor 14 Tagen
Noch offen auf der Website von SandboxAQ. GeprĂĽft vor 2 Stunden.

51 - 200 Mitarbeiter
GegrĂĽndet 2021
🤖 Künstliche Intelligenz
đź”’ Cybersecurity
đź’Š Pharmazie
Artificial Intelligence • Cybersecurity • Pharmaceuticals
SandboxAQ ist ein Unternehmen, das quantitative KI- und quanteninspirierte Technologien entwickelt, um reale Probleme in den Bereichen Arzneimittelforschung, Materialwissenschaft, Cybersicherheit und Navigation zu lösen. Sie erstellen große quantitative Modelle (LQMs), die auf physikalischen und chemischen Grundlagen beruhen, um molekulare Eigenschaften vorherzusagen, therapeutische Designs zu beschleunigen und komplexe chemische und katalytische Prozesse zu simulieren, während sie auch ihr Fachwissen in KI und Post-Quanten-Kryptografie einsetzen, um digitale Sicherheit und Navigation in GPS-losen Umgebungen zu verbessern.
• 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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