21 days ago
Canada (city not specified)Senior
Responsibilities
- Create agentic capabilities and frameworks for monitoring, guardrailing, and evaluation.
- Improve how agents work together and collaborate with humans using shared context.
- Perform exploratory data analysis, feature engineering, and model fine-tuning.
- Translate AI research into applicable product features and software engineering projects.
- Rapidly prototype and iterate on features based on feedback and evolving product needs.
- Contribute production-ready code for scalable and reliable software.
- Monitor developments in agentic AI and explore new opportunities.
Requirements
- MSc in Computer Science or a 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 or agentic frameworks.
- Ability to work cross-functionally with end-to-end ownership and deliver real-world outcomes.
- Ability to learn additional programming languages and technologies as needed.
- PhD in Computer Science or a related AI/ML field is highly desired.
- Experience with agent orchestration, agent harnesses, agent teams, jailbreaking or prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, or AI misuse detection and monitoring is highly desired.
- Open source contribution, startup experience, and cybersecurity experience are advantageous.
Benefits
- Competitive base salary, performance-based incentives or bonuses where applicable, and equity participation.
- Medical, dental, and vision coverage for employees and dependents with employer premium contributions.
- Retirement savings with company matching.
- Paid parental leave and inclusive family-building benefits.
- Flexible paid time off and company-wide seasonal breaks.
- Flexible work arrangements and opportunities for continuous learning and career development.
Tech Stack
Categories
About SandboxAQ
SandboxAQ builds enterprise software that combines AI with quantum technologies for use cases such as cryptography and cybersecurity, molecular simulation in life sciences, and navigation via quantum sensing. It sells B2B platforms and services, including crypto-agility and post-quantum security offerings, to customers in regulated and research-heavy sectors. Founded in 2021 and headquartered in Palo Alto, the company emerged from Alphabet as an independent entity in 2022.