10 months ago
Base Salary
$157k - $294k/yr
Responsibilities
- Design and manage data pipelines for training and validating Large Quantitative Models.
- Develop and rigorously test novel ML models and algorithms.
- Lead efforts in cleaning and engineering features from large-scale datasets.
- Conduct deep analysis of model performance and optimize for efficiency.
- Collaborate with AI researchers and product managers to create ML development roadmaps.
- Enforce engineering standards for code quality and system efficiency.
- Drive technical execution with high autonomy.
Requirements
- BS in Software Engineering, Computer Science, or equivalent.
- 8+ years of postgraduate experience in software development.
- Experience in developing scalable ML systems and data processing pipelines.
- Strong expertise in Python and ML frameworks like PyTorch and TensorFlow.
- Proven history of managing the full ML lifecycle from data exploration to deployment.
- Deep proficiency in MLOps and software best practices.
Benefits
- Competitive base salary and performance-based incentives.
- Comprehensive medical, dental, and vision coverage with employer contributions.
- Flexible paid time off and seasonal breaks.
- Support for flexible work arrangements.
- Opportunities for continuous learning and career development.
Tech Stack
Categories
Data Engineering
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.