$170,500.00-240,710.00 usd; not specified; not spe...
Hybrid
Applied machine learning
Llm fine-tuning
Reinforcement learning environments
This role sits at the intersection of research and engineering, focused on fine-tuning large language models (LLMs)
Job Summary
This role sits at the intersection of research and engineering, focused on fine-tuning large language models (LLMs).
Key responsibilities include designing and implementing post-training pipelines, developing RL environments and reward models, and conducting training runs.
Intel invests in its 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).
Salary
$170,500.00-240,710.00 USD; Not specified; Not specified
Skills & Requirements
Must-have
Applied Machine Learning
LLM fine-tuning
Reinforcement learning environments
Distributed training workloads
Python/C++ programming
Nice-to-have
Research rigor and engineering execution
Independent work in ambiguous spaces
Learning agility and growth mindset
Clear technical communication
Key Requirements
3+ years of experience in ML engineering/data science/ML research
Bachelor's degree in STEM field
Experience with LLM architectures, optimization, and fine-tuning
Hands-on experience with full post-training pipeline for language models