Applied Machine Learning Engineer (llms & Rl)

Intel

Santa Clara, California, USA
$170,500.00-240,710.00 usd py
Hybrid
Fine-tuning large language models (llms)
Reinforcement learning environments
Post-training pipelines
We are seeking an Applied Machine Learning Engineer (LLMs & RL) to join our team, focused on fine-tuning large language models (LLMs)

Job Summary

  • We are seeking an Applied Machine Learning Engineer (LLMs & RL) to join our team, focused on fine-tuning large language models (LLMs).
  • Your key responsibilities will include designing and maintaining post-training pipelines, developing RL environments, and conducting training runs to improve model capabilities for agentic applications.
  • We offer a total compensation package that ranks among the best in the industry, consisting of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Matching Summary

We are seeking an Applied Machine Learning Engineer (LLMs & RL) to join our team, focused on fine-tuning large language models (LLMs).

Salary

$170,500.00-240,710.00 USD

Skills & Requirements

Must-have

  • fine-tuning large language models (LLMs)
  • reinforcement learning environments
  • post-training pipelines
  • Python/C++ development
  • LLM architectures and optimization

Nice-to-have

  • research rigor and engineering execution
  • independent work in ambiguous spaces
  • learning agility and growth mindset

Key Requirements

  • 3+ years of experience
  • Bachelor's degree in CS, EE, Math, Stats, or related STEM field
  • Hands-on experience with full post-training pipeline for language models
  • Experience designing and building evaluation frameworks and benchmarks

Work Rights

Not specified

Tailored Resume

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