we continuously benchmark our salaries and total compensation to premium markets to ensure our competitiveness. Individual pay within the above range is determined by job-related skills, experience, education, and geographic location. With a focus on pay equity and ensuring opportunity for future salary progression, our typical practice is to hire within the first half of the base salary range for a given role and level.

This approach allows us to reward performance and increasing expertise consistently as your career develops with us. We use geographic pay tiers to reflect the pay differences in local markets: SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges.

Join us to advance your career in pursuit of an inspiring mission, in a community of like‑minded people who value entrepreneurialism, ownership, and transformative impact. The SandboxAQ AI team is looking for a hands‑on Manager, AI Engineering to help us build the future of agentic collaboration, trust and ROI. Discovery of agents, evaluation, red teaming, monitoring, guardrails, etc.

Quality : A successful candidate thrives at the intersection of AI and software engineering. You’ll turn your insights and innovation into real world features baked into our platform - shipping code to production. At the same time, you’ll have freedom to explore, collaborate, publish, and deploy,



shaping the field of agentic collaboration and trust from all angles.

You will help set technical direction, raise the quality bar, mentor team members, and ensure that the team moves quickly from research insight to real‑world product impact. You will be part of a diverse team consisting of ML experts, security experts, mathematicians, and software engineers, each playing a key role in efficient and effective enablement of the cutting‑edge technologies being developed at SandboxAQ. 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, low‑ego collaboration, thoughtful experimentation, and high standards. Create recent agentic capabilities, including frameworks for monitoring, guardrailing, and evaluating agents, while staying current on the latest agentic developments and identifying recent opportunities. Perform classical ML tasks, including exploratory data analysis, feature engineering, and model fine‑tuning, and 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, working across engineering to deliver scalable, reliable software. 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. Ability to pick up other programming languages and technologies as required to ship scalable and reliable software.

PhD in Computer Science or related field with focus on AI/ML or similar. Hands‑on experience with at least one of the following: 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 cybersecurity is a plus, but not essential.

Career Defining Work : Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.

Compensation: Competitive base salary, performance‑based incentives or bonuses (where applicable), and 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, and inclusive family‑building benefits. Fully remote, Versatile paid time off, company‑wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

Our multidisciplinary setting provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations : We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.

📌 Principal AI Engineer (Toronto)
🏢 SandboxAQ
📍 Toronto