Senior Remote AI Innovation Engineer

Bright Vision Technologies; Overland Park (KS); À distance; USD 135 000 - 210 000; Plein temps

Résumé du poste

Bright Vision Technologies is seeking an AI Innovation Engineer to bridge applied research and production engineering, designing scalable ML systems that solve high-impact business problems. You will operate across problem framing, experimentation, deployment, and continuous improvement.

The ideal candidate has 6+ years of ML experience, strong Python and PyTorch/JAX skills, and a proven track record shipping production AI projects with observability and safeguards.

Qualifications

• 6+ 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.
• Ability to deploy production ML pipelines with observability and safeguards.
• Knowledge of distributed and mixed-precision training, accelerator hardware.
• Strong written and verbal communication skills.
• Ability to read and adapt techniques from current research literature.
• Track record of shipping impactful applied AI projects.

Responsabilités

• Bridge research and production engineering for AI systems.
• Design and ship scalable ML pipelines with observability and safeguards.
• Collaborate across problem framing, experimentation, deployment, and continuous improvement.
• Stay current with AI research and evaluate real-world applicability.

Connaissances

Python

PyTorch

JAX

ML deployment

Distributed training

Mixed-precision

Formation

Master’s/PhD in CS/ML/Statistics

Outils

Python

PyTorch

JAX

Description du poste

Bright Vision Technologies is seeking an AI Innovation Engineer to bridge applied research and production engineering, designing scalable ML systems that solve high-impact business problems. You will operate across problem framing, experimentation, deployment, and continuous improvement.

The ideal candidate has 6+ years of ML experience, strong Python and PyTorch/JAX skills, and a proven track record shipping production AI projects with observability and safeguards.