Lead ML Engineer, AI Generation Engine

SandboxAQ; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Unlimited PTO

401k matching

Medical, dental, and vision insurance

Parental leave

Job summary

SandboxAQ is looking for a Machine Learning Engineer to lead the end-to-end ML lifecycle on their AI Generation Engine team. This role will focus on developing scalable AI-first products using Large Quantitative Models, collaborating within a diverse team.

Applicants should have extensive experience in building and deploying ML models, with strong proficiency in Python and relevant ML frameworks. SandboxAQ offers competitive salaries, equity, and comprehensive benefits.

Qualifications

• 5+ years of postgraduate experience in software development.
• Experience developing scalable ML systems.
• Strong expertise in Python including ML frameworks.

Responsibilities

• Design and manage data pipelines for LQMs.
• Develop and test novel ML models and algorithms.
• Collaborate with cross-functional teams to meet business objectives.

Skills

Machine Learning Lifecycle

Python

Data Processing Pipelines

MLOps

CI/CD for ML

Education

BS in Software Engineering or Computer Science

Tools

PyTorch

TensorFlow

JAX

NumPy

Pandas

Job description

SandboxAQ is looking for a Machine Learning Engineer to lead the end-to-end ML lifecycle on their AI Generation Engine team. This role will focus on developing scalable AI-first products using Large Quantitative Models, collaborating within a diverse team.

Applicants should have extensive experience in building and deploying ML models, with strong proficiency in Python and relevant ML frameworks. SandboxAQ offers competitive salaries, equity, and comprehensive benefits.