Foundation Model Engineer — TalentHop, United States
Зарплата не указана
ОткликнутьсяКомпания: TalentHop
Локация: United States
Формат: не указан
Занятость: Полная занятость
Грейд: Senior
This is a Fully Remote Job
About Our Client:
The organization is a technology consulting and software development firm specializing in cloud, artificial intelligence, data, and enterprise solutions across the United States. It addresses the need for advanced technology integration and software innovation in various industries, supporting clients with scalable and effective solutions.
About the Opportunity:
The FOUNDATION MODEL ENGINEER role is focused on designing, executing, and operationalizing fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. This position plays a critical role in developing and maintaining reliable training pipelines, collaborating with cross-functional teams to translate complex requirements into well-engineered solutions. The role contributes to advancing machine learning capabilities and ensuring the deployment of robust, production-grade models.
Responsibilities:
• Design and implement fine-tuning workflows for large language models.
• Construct datasets carefully and apply rigorous evaluation methodologies.
• Operate complex training pipelines reliably on GPU clusters.
• Collaborate with product, design, engineering, operations, and business teams.
• Conduct code and design reviews and mentor junior engineers.
Requirements:
• Minimum of 10 years of combined machine learning research and engineering experience with significant exposure to large language models.
• Proficiency in Python and deep learning frameworks, particularly PyTorch.
• Experience fine-tuning transformer-based language models at scale.
• Knowledge of distributed training strategies such as FSDP, ZeRO, and pipeline parallelism.
• Familiarity with preference optimization techniques like RLHF and DPO.
• Strong understanding of evaluation methodologies and human evaluation design.
• Experience managing training jobs on GPU clusters and failure recovery.
• Effective written and verbal communication skills.
• Proven record of delivering impactful large language model projects.
Pay Range and Compensation Package:
• Salary range between $200,000 and $230,000 annually.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.