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About the Role
We are seeking an Foundation Model Engineer to design, execute, and operationalize fine-tuning workflows for large language models. This role requires deep practical experience with modern training stacks, dataset construction, evaluation methodology, and operating complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices and will collaborate with cross-functional partners to translate requirements into solutions.
Responsibilities
- Design, execute, and operationalize fine-tuning workflows for large language models.
- Translate ambiguous requirements into well-engineered solutions.
- Raise the bar through code review, design review, and mentorship of junior engineers.
Requirements
- 10 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.
Skills
- Python
- PyTorch
- Transformer-based language models
- Distributed training strategies (FSDP, ZeRO, pipeline parallelism)
- RLHF
- DPO
- Preference optimization techniques
- Evaluation methodology
- Benchmarks
- Human evaluation design
- GPU cluster operations
- LLM fine-tuning
Location
- 100% Remote (U.S.)
Work Type
- Full-time
- Direct W2
Experience Level
- 10+ years
Salary/Compensations
- $200,000–$230,000 Annually
About the Company
- Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
- This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Equal Opportunity
- Bright Vision Technologies is an Equal Opportunity Employer
- Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.
- This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
- BV Teck expressly prohibits any form of workplace harassment or discrimination.
- Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.