SandboxAQ
Senior Machine Learning Engineer, AI Generation Engine
$131K–$246K
United States · Remote · Senior · Full-time · Posted May 22, 2026
- Experience
- 5+ years of postgraduate software development experience.
- Education
- BS in Software Engineering, Computer Science, or equivalent field of study.
About the job
Own the end-to-end development and production deployment of machine-learning models, data pipelines, and agentic frameworks for SandboxAQ’s AI Generation Engine.
What you'll do
- Build and manage data pipelines for training, validation, and retraining of Large Quantitative Models and agentic frameworks.
- Develop, test, evaluate, and optimize ML models and algorithms for product goals and production performance.
- Collaborate with researchers, product managers, and software engineers to deliver ML solutions and uphold engineering standards.
What they ask for
- BS in Software Engineering, Computer Science, or equivalent field of study.
- 5+ years of postgraduate experience in software development.
- Experience building highly available, performant, scalable ML systems and large-scale data-processing pipelines.
- Strong Python expertise, including the ML stack; experience owning the full ML lifecycle and proficiency in MLOps and software best practices.
Nice to have
- MS or PhD in Software Engineering or Computer Science, or equivalent experience.
- Financial or risk simulation experience; scalable cloud development experience on GCP or AWS.
Pay
$131.2K – $246K (base salary)
Tools
Python, PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases, MLflow
AI focus
Develop and productionize Large Quantitative Models and agentic frameworks, including data curation, pre-training, evaluation, and fine-tuning.
Model-written summary · the original posting is authoritative