Remote AI Research Engineer — Production ML & Systems

Bright Vision Technologies; Eden Prairie (MN); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Machine Learning Research Engineer to bridge cutting-edge AI research and production engineering. Design and ship advanced ML systems that solve high-impact business problems, while maintaining practical software engineering discipline.

The role requires staying current with ML research, evaluating new techniques for real-world use, and delivering robust, well-instrumented production pipelines across data, training, and inference.

Qualifications

• Master’s or PhD in CS/ML/Statistics or equivalent applied experience.
• 6+ years of combined research and ML engineering experience.
• Strong proficiency in Python and 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 ML.
• Experience taking ML models from research prototype to production with observability and safeguards.
• Familiarity with distributed training, mixed-precision training, and accelerator hardware.
• Strong written and verbal communication skills, including 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.

Responsibilities

• Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains.
• Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies.
• Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases.
• Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology.
• Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools.
• Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources.
• Optimize models for accuracy, latency, throughput, and cost based on production requirements.
• Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality.
• Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements.
• Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions.
• Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences.
• Mentor engineers on applied ML methodology, evaluation rigor, and responsible deployment.
• Contribute to internal knowledge sharing, reading groups, and prototype-to-production playbooks.
• Influence the broader AI roadmap based on research insight, capability gaps, and emerging opportunities.

Skills

Python

PyTorch

JAX

Deep Learning

Distributed Training

Observability

Communication

Research to Production

Education

Master’s or PhD in CS/ML/Statistics

Job description

Bright Vision Technologies is seeking a Machine Learning Research Engineer to bridge cutting-edge AI research and production engineering. Design and ship advanced ML systems that solve high-impact business problems, while maintaining practical software engineering discipline.

The role requires staying current with ML research, evaluating new techniques for real-world use, and delivering robust, well-instrumented production pipelines across data, training, and inference.