SandboxAQ

AI

SeniorScientificSoftwareEngineer,AISimulation

CA$121–214k Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Scientific Software Engineer, AI Simulation at SandboxAQ. Skills: Python, Machine Learning, Scientific Software, Simulation. Maintain scientific software packages. Extend scientific software packages”

What You'll Achieve.

Deliver AI solutions; Advance career; Tackle world's epic challenges; Drive reliable and efficient software

Industry & Context.

AI
Problems you'll solve

Problem solving

What They're Looking For.

Must Have

Bachelor's degree in a relevant scientific discipline, 5 years professional experience in software development, Python proficiency, experience with numeric and performance libraries like Numpy, Experience with ML libraries like PyTorch, Experience with relevant development tools and environments (git, Unix/Linux, cloud-based platforms, containerization), Experience using LLM tools and coding, Ability to rapidly write good quality code, Ability to devise, communicate internally and own technical roadmaps, Desire to work in a fast-paced team

Nice to Have

Experience developing software for scientific applications, Familiarity with open source scientific and molecular libraries such as OpenMM, RDKit, Scikit-learn, Experience with modern deep learning architectures, Experience with the drug discovery and drug development processes

What You'll Do.

Maintain scientific software packages

Extend scientific software packages

Architect scientific software

Implement scientific software

Architect ML software

Implement ML software

Adopt current practices

Ensure stability through testing

Containerize software

Integrate with compute backends

Integrate with data backends

Support production deployments

How You'll Work.

Team & Collaboration

Collaborate with subject matter experts; Work closely with the Engineering Team; Collaborate with the engineering team; Collaborate with computational chemists; Collaborate with physicists; Collaborate with AI experts; Collaborate with software engineers

Communication Scope

Communicate technical roadmaps internally

Process & Methodology

Own technical roadmaps

Full Job Description

ABOUT SANDBOXAQ 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. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. 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 OPPORTUNITY Our team is seeking a Software Engineer to contribute to the development of computational chemistry tools, and bridge the gap from R&D prototypes to stable, well-test, production-ready implementations. As we continue to expand our portfolio of capabilities – spanning physics-based simulations, large-scale data and knowledge graphs, machine learning, and massively parallel computing – we require reliable and efficient software to drive it. We are looking for an experienced engineer who can enhance our team’s work through the creation of clean software and collaboration with a team of computational chemists, physicists, AI experts, and software engineers. This should be founded in a good understanding of the technical challenges and scientific concepts in the drug discovery space, and deep experience building efficient and maintainable implementations of AI- and physics-based simulation software. KEY RESPONSIBILITIES: - Maintain and extend existing scientific

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