$170,500.00-240,710.00 usd; not specified; not spe...
Hybrid
Fine-tuning llms
Reinforcement learning environments
Reward models
This role sits at the intersection of research and engineering, focused on fine-tuning large language models (LLMs) for agentic applications
Job Summary
This role sits at the intersection of research and engineering, focused on fine-tuning large language models (LLMs) for agentic applications.
Key responsibilities include designing and implementing post-training pipelines, developing RL environments and reward models, and conducting training runs to improve model capabilities.
Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.
Matching Summary
This role sits at the intersection of research and engineering, focused on fine-tuning large language models (LLMs) for agentic applications.
Salary
$170,500.00-240,710.00 USD; Not specified; Not specified
Skills & Requirements
Must-have
Fine-tuning LLMs
Reinforcement learning environments
Reward models
Post-training pipelines
Distributed training workloads
Nice-to-have
Research rigor and engineering execution
Clear technical communication
Collaborative mindset
Learning agility
Growth mindset
Key Requirements
Bachelor's degree in STEM field
3+ years of experience in ML engineering/data science/ML research
Python/C++ programming
Core ML fundamentals (LLM architectures, optimization, fine-tuning, evaluation)