Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The AI Applications Engineer will design, execute, and operationalize large language model fine-tuning workflows, construct datasets, evaluate models, and operate reliable training pipelines. The role also involves collaborating with cross-functional stakeholders, conducting code and design reviews, and mentoring junior engineers.
Responsibilities
- Design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches
- In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers
Skills
- Master's or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience
- Six or more years of combined ML research and engineering experience, with significant LLM exposure
- Strong proficiency in Python and modern deep learning frameworks, especially PyTorch
- Hands-on experience fine-tuning transformer-based language models at non-trivial scale
- Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism
- Experience with RLHF, DPO, or other preference optimization techniques
- Strong understanding of evaluation methodology, benchmarks, and human evaluation design
- Experience operating training jobs on GPU clusters and recovering from failures
- Strong written and verbal communication skills
- Track record of shipping or publishing impactful LLM work
- Publications at top-tier ML venues
- Experience with multimodal model fine-tuning
- Familiarity with synthetic data generation and dataset distillation
- Open-source contributions to LLM training libraries
- Exposure to responsible AI evaluation and red-teaming practices
Benefits
- 100% Remote (United States)
- Full-time, Direct W2
- Tremendous career growth potential
Company Overview