Responsibilities
- Design, construct, and manage robust data pipelines for training, validation, and continuous retraining of Large Quantitative Models and agentic frameworks.
- Develop, implement, and rigorously test ML models and algorithms while defining metrics aligned with product objectives.
- Clean, transform, and engineer features from complex, large-scale datasets to improve model performance and predictive accuracy.
- Analyze model behavior, performance, and failure modes while tuning hyperparameters and optimizing model architectures for production efficiency, speed, and accuracy.
- Collaborate with AI researchers, product managers, and software engineers to translate business objectives into ML development and deployment roadmaps.
- Enforce high standards for code quality, system efficiency, and security in a prototyping environment.
Requirements
- Bachelor’s degree in Software Engineering, Computer Science, or an equivalent field of study.
- At least five years of postgraduate software development experience.
- Experience developing highly available, performant, and scalable ML systems, including large-scale data processing pipelines.
- Strong Python expertise and experience with PyTorch, TensorFlow, JAX, NumPy, and Pandas.
- Successful experience driving the full ML lifecycle from data exploration and hypothesis testing through architecture, training, evaluation, and production deployment.
- Deep proficiency in MLOps and software engineering practices, including ML experiment tracking, automated testing, and version control for code and datasets.
- Preferred: MS or PhD in Software Engineering, Computer Science, or equivalent experience.
- Preferred: financial simulation, risk simulation, or related technical experience.
- Preferred: technical leadership in complex environments and cross-organizational technical design and execution.
- Preferred: scalable software development on cloud computing platforms such as GCP or AWS.
Benefits
- Competitive salary, equity, and annual bonus.
- 401(k) matching at 50% up to the IRS maximum contribution.
- Unlimited paid time off plus one-week summer and winter breaks.
- Twelve weeks of fully paid parental leave in the US, with an additional eight weeks for birthing parents.
- $750 equipment, software, and office furniture budget.
- $100 per month for wellness and $100 per month for home office bills.
- Medical, dental, and vision insurance for employees and dependents, with 95% of employee premiums covered.
- Family planning support for fertility, surrogacy, and adoption through Carrot.
Tech Stack
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.