SandboxAQ is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment.

Company: SandboxAQ

Role: Staff Machine Learning Engineer, AI Generation Engine

Location: Remote, United States

Experience:

8+ years of postgraduate experience in software development
Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines
Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment

Key Skills:

Python
PyTorch
TensorFlow
JAX
NumPy
Pandas
MLOps
CI/CD for ML
experiment tracking (Weights & Biases, MLflow)
automated testing
version control for both code and datasets

Qualification:

BS in Software Engineering, Computer Science, or equivalent field of study

Role Focus:

Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks
Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives
Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy
Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context
Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps
Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment
Drive technical execution with high autonomy, making critical design and implementation decisions independently

Nice to have:

MS or PhD in Software Engineering, Computer Science or equivalent experience
Financial simulation or technical experience, risk simulation
Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations
Experience with scalable software development on cloud computing platforms (GCP, AWS)

Other:

Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation
Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
Retirement savings with company matching
Paid parental leave
Inclusive family-building benefits
Flexible paid time off
Company-wide seasonal breaks
Support for flexible work arrangements that enable sustainable performance
Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs

Staff Machine Learning Engineer, AI Generation Engine

Skills Required

Description