Senior AI Research Engineer — Remote Production ML

Bright Vision Technologies; Edison (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 scalable production pipelines.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience.
• Ten 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 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 for technical and non‑technical audiences.
• 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

Production ML

Experimentation

Distributed training

Model evaluation

Communication

Mentorship

Education

Master's or PhD in Computer Science / ML

PhD preferred

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 scalable production pipelines.