AI Research Engineer

Bright Vision Technologies • Aurora, IL

1d • $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 for 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, and well-instrumented production pipelines.

The successful candidate will stay current with AI research, evaluate new techniques for real-world applicability, and contribute across the full lifecycle of machine learning work, from problem framing and experimentation through deployment and continuous improvement. This is a 100% remote, full-time direct W-2 position in the United States. The salary range is $80,000–$100,000 annually. The role requires six or more years of combined research and applied ML engineering experience. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position; 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 ML engineering experience.
• Strong proficiency in Python and modern ML 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 ML 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 ML projects.

Responsibilities

• Design and ship advanced machine learning systems that address high-impact business problems.
• 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.
• Work across the machine learning lifecycle, including problem framing, experimentation, deployment, and continuous improvement.
• Evaluate current research techniques for their applicability to real-world use cases.
• Read, evaluate, and adapt methods from current research literature.
• Communicate complex methods clearly in writing and verbally.

What This Job Offers

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