Senior AI Research Engineer - Remote Production ML

Bright Vision Technologies; Monroe Township (NJ); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.

The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines.

Qualifications

• Advanced degree or equivalent in CS/ML/statistics.
• 12+ years of research and ML engineering experience.
• Strong Python and ML framework skills (PyTorch/JAX).
• Experience taking ML models from research to production with observability.
• Experience with distributed training and accelerator hardware.

Responsibilities

• Design, prototype, and evaluate applied AI solutions across NLP, vision, and data domains.
• Translate business problems into well-scoped ML formulations with clear metrics.
• Stay current with deep learning research and assess real-world applicability.
• Implement rigorous experimentation workflows with baselines and ablations.
• Build production-grade training and inference pipelines using ML frameworks.
• Collaborate with ML platform engineers to optimize compute and storage.
• Improve model performance with respect to accuracy, latency, and cost.
• Develop tooling for data labeling, validation, and monitoring quality.
• Partner with product and domain experts to align models with user needs.
• Incorporate safety and fairness evaluations into model selection.

Skills

Python

PyTorch

JAX

Distributed training

Observability

Communication skills

Research literature evaluation

Applied ML engineering

Education

Master’s or PhD in Computer Science, Machine Learning, Statistics, or related field

Job description

Bright Vision Technologies is seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.

The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines.