[Remote] AI Research Engineer (Applied AI)
Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking an AI Research Engineer (Applied AI) to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.
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
- 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
- Published research at top-tier AI/ML venues
- Experience with large language model training, fine-tuning, or evaluation
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures
- Exposure to responsible AI, model evaluation, and alignment practices
- Experience contributing to open-source ML projects
Company Overview