Research Scientist – AI

Bright Vision Technologies • Wesley Chapel, FL

2d • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an AI research professional to bridge applied research and production engineering by designing and shipping advanced machine learning systems that address high-impact business problems. The role combines scientific rigor with practical software engineering and requires 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, assess techniques for real-world applicability, and work across the lifecycle from problem framing and experimentation through deployment and continuous improvement. The position is 100% remote in the United States, full-time, and direct W2, with an annual salary range of $100,000–$150,000. The employer is unable to sponsor new H-1B visa petitions; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

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, from problem framing and experimentation to deployment and continuous improvement.
• 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.
• Evaluate current research techniques and adapt them for real-world applications.

What This Job Offers

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