Applied Machine Learning Engineer (LLMs & RL)

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 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, 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, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

• 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, You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates., Bachelor's degree (B.S. or B.A.) in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field.

In addition you must have 3+ years of experience in the following:

• Experience in machine learning engineering, data science, ML research or modeling fine tuning.
• Programming: Python/C++ as the primary development language for ML research and engineering
• Core ML fundamentals: LLM architectures, optimization, and model training fine tuning evaluation technics., * Masters or PhD degrees are preferred.
• Hands-on experiences implementing and scaling the full post-training pipeline for language models including supervised fine tuning and reinforcement learning.
• Previous experiences designing and building evaluation frameworks and benchmarks that accurately measure model capability improvements and alignment quality
• Modeling distillation quantization experience

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel (https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003) .

Annual Salary Range for jobs which could be performed in the US: $170,500.00-240,710.00 USD

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.