Remote AI Research Engineer - Production-Grade ML Systems

Bright Vision Technologies; Glastonbury (CT); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Research Engineer to bridge cutting-edge applied research with production engineering. Design and ship advanced ML systems to solve high-impact business problems, balancing scientific rigor with practical software engineering.

The candidate should stay current with evolving AI research and evaluate real-world applicability of new techniques. The role requires deep ML knowledge, experience taking models to production with observability, and the ability

Qualifications

• Master’s or PhD in Computer Science, ML, Statistics, or related field, or equivalent experience.
• Six or more years of combined research and applied ML engineering experience.
• Strong proficiency in Python and ML frameworks like PyTorch or JAX.
• Hands-on experience training, fine-tuning, and evaluating DL models at scale.
• Solid grounding in mathematics and statistics for ML.
• Experience shipping ML models from research to production with observability.
• Familiarity with distributed training and accelerator hardware.
• Strong written and verbal communication to explain complex methods.

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 DL research and assess applicability to internal use cases.
• Build production-quality training and inference pipelines using modern ML frameworks.
• Mentor engineers on ML methodology and responsible deployment.

Skills

Python

PyTorch

JAX

Statistics

Production ML

Communication skills

Education

Master’s or PhD in Computer Science / ML / Statistics

6+ years experience or equivalent applied experience

Tools

Distributed training

Accelerator hardware

Job description

Bright Vision Technologies is seeking an AI Research Engineer to bridge cutting-edge applied research with production engineering. Design and ship advanced ML systems to solve high-impact business problems, balancing scientific rigor with practical software engineering.

The candidate should stay current with evolving AI research and evaluate real-world applicability of new techniques. The role requires deep ML knowledge, experience taking models to production with observability, and the ability