Senior AI Model Lifecycle Engineer — LLM Fine-Tuning

Crusoe; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Restricted Stock Units

Paid time off

Health, dental & vision insurance

HSA contributions

Parental leave

Life insurance & disability

Tuition reimbursement

Wellness support

Commuter benefits

401(k) match

Volunteer time off

Job summary

Crusoe is hiring for a role focused on scaling AI model training and optimization. You will lead multi-node fine-tuning, build end-to-end training pipelines for Large Language Models, and implement reinforcement learning-based approaches to improve model alignment and performance.

We value hands-on experience with RL/RFT, Generative AI, and producing robust, production-grade AI services. This role offers a competitive compensation package including RSUs and comprehensive benefits, with salary up

Qualifications

• Advanced degree in Computer Science, Engineering, or related field.
• 4-5+ years of industry experience leading AI/ML projects.
• Experience in Generative AI, LLMs, and multimodal models.
• Hands-on experience with Reinforcement Learning and Reinforcement Fine-Tuning (RFT).

Responsibilities

• Manage fine-tuning systems for large foundation models with multi-node orchestration and cost-efficiency.
• Implement and maintain end-to-end training pipelines for Large Language Models.
• Apply reinforcement learning to fine-tuning and training stages (RFT).
• Develop distillation and RL pipelines (preference optimization, policy optimization, reward modeling).
• Manage datasets, models, and experiments with versioning and reproducibility.

Skills

Generative AI

LLMs training

Reinforcement Learning

Autonomy

Collaboration

Education

Advanced degree in Computer Science, Engineering, or related field

Tools

Python

Golang

PyTorch

Job description

Crusoe is hiring for a role focused on scaling AI model training and optimization. You will lead multi-node fine-tuning, build end-to-end training pipelines for Large Language Models, and implement reinforcement learning-based approaches to improve model alignment and performance.

We value hands-on experience with RL/RFT, Generative AI, and producing robust, production-grade AI services. This role offers a competitive compensation package including RSUs and comprehensive benefits, with salary up