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Applied Machine Learning Engineer (LLMs & RL)
Intel
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Santa Clara, United States
Location
Santa Clara
Posted
June 06, 2026
Commute
Local Area
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Job Description
**Job Details:**
**Job Description:**
We are seeking an **Applied Machine Learning Engineer (LLMs & RL)** to join our team, focused on fine-tuning large language models (LLMs). This role sits at the intersection of research and engineering: the ideal candidate designs and implements post-training pipelines, develops RL environments and reward models, and conducts training runs to improve model capabilities for agentic applications.
**You will work with a dynamic team and your key responsibilities will include but are not limited to:**
+ Design and maintain postβtraining pipelines, from data ingestion through deployment
+ Develop reinforcement learning environments, reward models, and evaluation signals
+ Debug, optimize, and scale distributed training workloads
+ Design and execute research experiments and ablation studies
+ Develop benchmarks and evaluation metrics for model capability and alignment
**Behavioral traits that we...
**Job Description:**
We are seeking an **Applied Machine Learning Engineer (LLMs & RL)** to join our team, focused on fine-tuning large language models (LLMs). This role sits at the intersection of research and engineering: the ideal candidate designs and implements post-training pipelines, develops RL environments and reward models, and conducts training runs to improve model capabilities for agentic applications.
**You will work with a dynamic team and your key responsibilities will include but are not limited to:**
+ Design and maintain postβtraining pipelines, from data ingestion through deployment
+ Develop reinforcement learning environments, reward models, and evaluation signals
+ Debug, optimize, and scale distributed training workloads
+ Design and execute research experiments and ablation studies
+ Develop benchmarks and evaluation metrics for model capability and alignment
**Behavioral traits that we...