Responsibilities
- Research, architect, and scale scientific code from novel ideas and scientific papers.
- Lead the ideation, benchmarking, and execution of complex datasets and ML models.
- Drive software through the entire product lifecycle, ensuring technical excellence.
Requirements
- PhD or research-focused MSc in Computer Science, Physics, Chemistry, or a related quantitative field.
- 5+ years of industry experience developing productionized software in professional teams.
- Experience or training in data-science related tasks in structural biology.
- Expertise in translating research papers into concrete ML software artifacts.
- Experience supporting models in external-facing products.
Benefits
- Competitive base salary and performance-based incentives.
- Comprehensive medical, dental, and vision coverage with generous employer contributions.
- Retirement savings with company matching and paid parental leave.
- Flexible paid time off and support for flexible work arrangements.
- Opportunities for continuous learning and professional growth.
Categories
About SandboxAQ
In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts. At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.