3 months ago
Toronto, CanadaStaff+
Responsibilities
- Research, architect, and scale robust scientific code based on novel ideas and published research.
- Lead the ideation, benchmarking, and execution of complex datasets and ML models within large-scale simulation frameworks.
- Drive software from foundational research and implementation through launch and long-term support.
- Orchestrate distributed training pipelines on GPU infrastructure.
- Develop hardware-level optimizations for computational chemistry workloads.
Requirements
- PhD or research-focused MSc in Computer Science, Physics, Chemistry, or a related quantitative field focused on advanced computational methods.
- At least five years of industry experience developing productionized software in professional teams.
- Experience or training in data-science tasks related to structural biology.
- Expertise translating research papers into concrete ML software artifacts.
- Experience supporting models in external-facing products across the research-code to product-code lifecycle.
- Direct biopharma experience or experience training affinity, structure-prediction, or generative chemistry models is highly desired.
- Experience developing and launching successful commercial software products is highly desired.
- Familiarity with MLOps practices on major cloud platforms for automated scaling and model monitoring is highly desired.
- Experience working in interdisciplinary environments combining AI with physical or biological sciences is highly desired.
Benefits
- Competitive base salary, performance-based incentives or bonuses where applicable, and equity participation are offered, though no amounts are stated.
- 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, company-wide seasonal breaks, and flexible work arrangements.
- Professional development through on-the-job learning, cross-functional collaboration, and internal learning programs.
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.