SandboxAQ
Staff Machine Learning Engineer, AI Generation Engine
$157K–$294K
United States · Remote · Staff · Full-time · Posted Jan 9, 2026
- Experience
- 8+ years of postgraduate software development experience.
- Education
- BS in Software Engineering, Computer Science, or equivalent field of study; MS or PhD in Software Engineering, Computer Science or equivalent experience is highly desired.
About the job
Own the end-to-end machine learning lifecycle to rapidly develop, evaluate, and deploy AI-first products using Large Quantitative Models and agentic frameworks.
What you'll do
- Build and manage data pipelines for model training, validation, and retraining; prepare complex datasets and features.
- Develop, test, evaluate, and optimize ML models and algorithms for production performance.
- Collaborate across research, product, and engineering teams to deliver ML solutions and uphold engineering standards.
What they ask for
- BS in Software Engineering, Computer Science, or equivalent field of study.
- 8+ years of postgraduate experience in software development.
- Experience developing highly available, performant, scalable ML systems, including large-scale data processing pipelines.
- Strong Python expertise, including the ML stack, and proficiency in MLOps and software practices such as CI/CD, experiment tracking, automated testing, and version control.
Nice to have
- MS or PhD in Software Engineering, Computer Science or equivalent experience.
- Financial or risk simulation experience; scalable cloud software development on GCP or AWS.
Pay
$156.8K – $294K (base salary)
Tools
Python, PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases, MLflow
AI focus
Develop and deploy Large Quantitative Models and agentic frameworks, including data preparation, training, evaluation, fine-tuning, and productionization.
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