AI Research Engineer

Bright Vision Technologies • Schaumburg, IL

3d • $80,000 - $100,000 • Remote

About The Position

Bright Vision Technologies is seeking an AI Research Engineer 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 and practical software engineering, including modern machine learning and deep learning methods and the development of robust, scalable, well-instrumented production pipelines. The engineer will evaluate emerging AI research for real-world applicability and work across the lifecycle from problem framing and experimentation through deployment and continuous improvement. This is a full-time, direct W-2 position that is 100% remote in the United States, with an annual salary range of $80,000–$100,000. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

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 that solve high-impact business problems.
• Develop 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.
• Evaluate emerging AI research techniques for their applicability to real-world problems.

What This Job Offers

• Job Type: Full-time