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About
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.
Responsibilities
Design and maintain post‑training 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
Desired Behavioral Traits
Ability to work independently in ambiguous problem spaces
Strong debugging and problem‑solving skills
Balance of research rigor and engineering execution
Clear technical communication and collaborative mindset
Demonstrated learning agility and growth mindset
Minimum Qualifications
Bachelor's degree (B.S. or B.A.) in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field.
3+ years of experience in machine learning engineering, data science, ML research or modeling fine‑tuning.
Proficiency in Python/C++ as primary language for ML research and engineering.
Core ML fundamentals: LLM architectures, optimization, and model training, fine‑tuning and evaluation techniques.
Preferred Qualifications
Masters or PhD degrees are preferred.
Hands‑on experience implementing and scaling the full post‑training pipeline for language models including supervised fine‑tuning and reinforcement learning.
Previous experience designing and building evaluation frameworks and benchmarks that accurately measure model capability improvements and alignment quality.
Experience with model distillation and quantization.
Benefits We offer a total compensation package that ranks among the best in the industry, including competitive pay, stock bonuses, and benefit programs that cover health, retirement, and vacation. Annual salary range for jobs that could be performed in the US: $170,500.00 - 240,710.00 USD.
Work Model This role will be eligible for our hybrid work model, allowing employees to split their time between on‑site and off‑site work. Work model, location, or time type are subject to change.
EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2‑in‑1s, and all‑in‑ones.
Location Primary: US, California, Santa Clara. Additional: US, California, Folsom; US, Oregon, Hillsboro.
Shift Shift 1 (United States of America)
Job Type Experienced Hire
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Languages
- English
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