Generative AI Engineer - Remote Opportunity

Bright Vision Technologies is seeking a Generative AI Engineer to design, develop, and operationalize fine-tuning workflows for large language models (LLMs). The role covers supervised fine-tuning, preference-based optimization, and reinforcement learning approaches, with a focus on dataset quality, model evaluation, distributed training, and reliable production pipelines., * Design, implement, and operationalize fine-tuning workflows for large language models across supervised and preference-based learning approaches.

• Build and refine datasets to support effective model training and reliable evaluation.
• Apply appropriate evaluation methods, benchmarks, and human evaluation practices to measure model performance.
• Work with distributed training strategies and GPU clusters to run large-scale model training.
• Monitor training jobs, troubleshoot failures, and implement recovery procedures to maintain reliable workflows.
• Balance data quality, compute costs, evaluation requirements, and delivery timelines when making engineering decisions.
• Collaborate with cross-functional teams to translate business and product requirements into well-engineered solutions.
• Participate in code reviews and design reviews to maintain engineering quality and consistency.
• Mentor junior engineers and contribute to technical standards and team development.
• Deliver production-ready LLM solutions and contribute to impactful research or engineering outcomes.

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• Six or more years of combined machine learning research and engineering experience, including significant exposure to large language models.
• Strong proficiency in Python and modern deep learning frameworks, particularly PyTorch.
• Hands-on experience fine-tuning transformer-based language models at meaningful scale.
• Familiarity with distributed training techniques, including FSDP, ZeRO, and pipeline parallelism.
• Experience with RLHF, Direct Preference Optimization (DPO), or other preference optimization methods.
• Strong understanding of model evaluation methodologies, benchmarks, and human evaluation design.
• Experience running training jobs on GPU clusters and recovering from failures.
• Strong written and verbal communication skills.
• A track record of delivering or publishing impactful LLM work., * Publications at leading machine learning conferences or research venues.
• Experience fine-tuning multimodal models.
• Familiarity with synthetic data generation and dataset distillation.
• Open-source contributions to LLM training libraries.
• Exposure to responsible AI evaluation and red-teaming practices.

Salary and Employment Details

• Annual salary: $90,000-$115,000.
• Employment type: Full-time, direct W-2 employment.
• Experience level: Six or more years of combined machine learning research and engineering experience.

Bright Vision Technologies is a technology consulting and software development company that delivers cloud, AI, data, and enterprise solutions across the United States.