Remote ML Research Engineer - Applied AI & Production

Bright Vision Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking a Machine Learning Research Engineer to bridge cutting‑edge research and production systems. This role entails designing and shipping scalable ML solutions across NLP, vision, and data domains, with a strong emphasis on rigorous experimentation and measurable impact.

You will work across problem framing, experimentation, deployment, and monitoring, collaborating with ML platform engineers and product teams.

Qualifications

• 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 ML.
• 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 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

DL at scale

Math & stats

Production observability

Distributed training

Mixed precision

Communication

Research reading

Applied AI projects

Education

Master's or PhD in CS/ML

Job description

Bright Vision Technologies in the United States is seeking a Machine Learning Research Engineer to bridge cutting‑edge research and production systems. This role entails designing and shipping scalable ML solutions across NLP, vision, and data domains, with a strong emphasis on rigorous experimentation and measurable impact.

You will work across problem framing, experimentation, deployment, and monitoring, collaborating with ML platform engineers and product teams.