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.
Requirements
- 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.
Benefits
- Competitive base salary commensurate with experience, plus benefits.
