Research Scientist – AI

Bright Vision Technologies • Orlando, FL

4d • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an AI research professional to bridge applied research and production engineering. The role involves designing and delivering advanced machine learning systems that address high-impact business problems, combining scientific rigor with practical software engineering. The successful candidate will apply modern machine learning and deep learning techniques while building robust, scalable, and well-instrumented production pipelines. The position spans the full lifecycle, from problem framing and experimentation through deployment and continuous improvement, and requires evaluating current AI research for real-world applicability.

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.
• Demonstrated 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 to solve business problems.
• Train, fine-tune, and evaluate deep learning models at non-trivial scale.
• Take machine learning models from research prototypes to production, including appropriate observability and safeguards.
• Build robust, scalable, and well-instrumented production pipelines.
• Frame problems, conduct experiments, deploy models, and continuously improve systems.
• Read, evaluate, and adapt methods from current research literature.
• Explain complex methods clearly in written and verbal communication.

What This Job Offers

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