AI Innovation Engineer

📋 Description

• Design, develop, and ship advanced ML/DL systems solving business problems.
• Lead end-to-end ML lifecycle from problem framing to deployment and monitoring.
• Train, fine-tune, evaluate deep learning models at scale.
• Translate research into practical production approaches.
• Turn research prototypes into robust, observable, reliable systems.
• Apply distributed training and accelerator hardware for large workloads.

🎯 Requirements

• Education: Master’s/PhD in CS, ML, Stats or related, or equivalent exp.
• 6+ years in research and applied ML engineering.
• Python with PyTorch or JAX experience.
• Deep learning at non-trivial scale experience.
• Strong math/statistics foundations.
• Production ML: move models to production with observability and safeguards.

🎁 Benefits

• Salary: $135,000–$210,000 annually.
• Work arrangement: 100% remote position within the United States.
• Employment type: Full-time, direct W-2.
• Career growth in advanced AI across research, experiments, engineering, production.
• Hands-on with modern ML frameworks, distributed training, and large-scale models.
• Opportunity to apply cutting-edge research to business challenges.