6 months ago
USA (city not specified)Senior / Mid Level
H1B sponsor
Base Salary
$131k - $246k/yr
Responsibilities
- Design and manage data pipelines for training and retraining Large Quantitative Models.
- Develop and rigorously test novel ML models and algorithms.
- Clean, transform, and engineer features from large-scale datasets.
- Analyze model behavior and optimize architecture for efficiency and accuracy.
- Collaborate with AI researchers and product managers to align ML development with business goals.
- Enforce high engineering standards for code quality and system efficiency.
Requirements
- BS in Software Engineering, Computer Science, or equivalent field.
- 5+ 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 track record of managing the full ML lifecycle from data exploration to deployment.
- Deep proficiency in MLOps and software best practices.
Benefits
- Competitive salary, equity, and annual bonus.
- 401k matching at 50% up to IRS maximum contribution.
- Unlimited PTO plus summer and winter breaks.
- Twelve weeks of fully paid parental leave in the US.
- $750 budget for equipment and office needs.
- $100 per month for wellness and home office bills.
- Comprehensive medical, dental, and vision insurance with 95% premium coverage.
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.