The role of Machine Learning Engineer / Data Scientist at Intel focuses on agent harness research and model fine-tuning. The ideal candidate will work at the intersection of research and engineering, designing algorithms for agent harness and post-training pipelines. This position involves developing reinforcement learning environments and conducting training runs to enhance model capabilities for agentic applications. The team aims to create AI that is safe, trustworthy, and respects human privacy by design.

• BS in Computer Science, Electrical Engineering, Mathematics, or a related STEM field
• 5+ years of software development experience
• 2+ years of hands-on experience in machine learning engineering, data science, or ML research
• Proficient in Python
• Proficient in LLM architectures, optimization, and model training dynamics

• Build evaluation benchmarks and metrics
• Develop and iterate on agent harness, including context engineering and agent memory
• Create and maintain a robust post-training pipeline from data ingestion to model deployment
• Design reinforcement learning environments and reward functions for reasoning-intensive tasks
• Debug and optimize training runs to improve GPU utilization and resolve bottlenecks

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.