AI Innovation Engineer

Bright Vision Technologies • Overland Park, KS

1d • $135,000 - $210,000 • Remote

About The Position

Bright Vision Technologies is seeking an AI Innovation Engineer to bridge applied research and production engineering by designing and shipping advanced machine learning systems that address high-impact business problems. The position combines scientific rigor with practical software engineering, requiring knowledge of modern machine learning and deep learning as well as the ability to build robust, scalable, well-instrumented production pipelines.

The successful candidate will keep current with AI research, critically evaluate new techniques for real-world applicability, and work across the full lifecycle of machine learning systems—from problem framing and experimentation through deployment and continuous improvement. This is a full-time, direct W2 role that is 100% remote within the United States. The listed annual salary range is $135,000–$210,000.

Requirements

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

Nice To Haves

• Published research at top-tier AI/ML venues.
• Experience with large language model training, fine-tuning, or evaluation.
• Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
• Exposure to responsible AI, model evaluation, and alignment practices.
• Experience contributing to open-source machine learning projects.

Responsibilities

• Design and ship advanced machine learning systems that solve high-impact business problems.
• Build robust, scalable, and well-instrumented production machine learning pipelines.
• Work across the machine learning lifecycle, including problem framing, experimentation, deployment, and continuous improvement.
• Evaluate new AI techniques for their real-world applicability.
• Train, fine-tune, and evaluate deep learning models at non-trivial scale.
• Take machine learning models from research prototypes into production with appropriate observability and safeguards.
• Read, evaluate, and adapt techniques from current research literature.
• Communicate complex methods clearly in writing and verbally.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior