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Applied Machine Learning Engineer – LLMs, RL
Intel CorporationApplied Machine Learning Engineer at Intel focusing on fine-tuning large language models and developing reinforcement learning environments. Collaborate with a dynamic team and execute research experiments for model improvements.
Posted 4/16/2026full-timeSanta Clara • California, Oregon • 🇺🇸 United StatesMid-LevelSenior💰 $170,500 - $240,710 per yearWebsite
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
- 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 techniques.
- 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
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonC++machine learning engineeringdata sciencereinforcement learningmodel trainingevaluation metricsmodel fine tuningdistributed trainingmodel distillation
Certifications
Bachelor's degreeMaster's degreePhD