Remote AI Innovation Engineer - ML Production Systems

Bright Vision Technologies; Wildwood (MO); Remote; USD 135,000 - 210,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing scalable ML systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep ML knowledge and the ability to deploy end-to-end pipelines with observability and governance.

The ideal candidate stays current with evolving AI research, can evaluate new techniques for

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Statistics, or closely related field, or equivalent applied experience.
• Six or more years of combined research and applied ML engineering experience.
• Strong proficiency in Python and ML frameworks such as PyTorch or JAX.
• Hands-on experience training, fine-tuning, and evaluating deep learning models at scale.
• Solid grounding in mathematics, statistics, and ML foundations.
• Experience taking ML models from research to production with observability.
• Familiarity with distributed training, mixed-precision training, and accelerator hardware.
• Strong written and verbal communication skills.
• Ability to read, evaluate, and adapt techniques from current research literature.
• Track record of shipping impactful applied AI projects.

Skills

Python

ML model development

Deep learning

Distributed training

Education

Master’s or PhD in CS/ML/Statistics

Tools

PyTorch

JAX

Job description

Bright Vision Technologies in the United States is seeking an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing scalable ML systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep ML knowledge and the ability to deploy end-to-end pipelines with observability and governance.

The ideal candidate stays current with evolving AI research, can evaluate new techniques for