Agentic ML Engineer: Post-Training Pipelines & Edge Models

Intel Corporation; Santa Clara (CA); Hybrid; USD 195,000 - 361,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Paid vacation

Job summary

Intel Corporation in the United States is seeking a Machine Learning Engineer / Data Scientist to join our AI research team. You will design and implement algorithms for agent harness and post-training pipelines, develop RL environments and reward models, and conduct training runs to improve model capabilities for agentic applications.

You will build evaluation benchmarks, optimize multi-GPU training, and collaborate across research and engineering to advance agentic AI while upholding privacy

Qualifications

• BS in CS, EE, Math or related STEM field.
• 8+ years software development background.
• 4+ years of hands-on experience in machine learning engineering, data science or ML research.
• Experiences designing and building evaluation frameworks and benchmarks that accurately measure model capability improvements and alignment quality.
• Proficient in Python.
• Proficient in LLM architectures, optimization and model training dynamics.
• 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.

Responsibilities

• Build evaluation benchmarks and metrics.
• Build and iterate on agent harness, including context engineering, agent memory, tools, skills.
• Build, maintain, and iterate on the post-training pipeline: Build robust, reproducible training workflows from data ingestion and preprocessing through model checkpointing and deployment.
• Design RL environments and reward functions — Develop environments, reward signals, and verifiable reward frameworks for training models on reasoning-intensive tasks.
• Debug and optimize training runs — Profile training jobs, resolve bottlenecks, improve GPU utilization, and address numerical instability at multi-GPU scale.

Skills

Python

LLM architectures

Machine learning engineering

Data science

Evaluation benchmarks

Education

BS in CS, EE, Math or related STEM field

Job description

Intel Corporation in the United States is seeking a Machine Learning Engineer / Data Scientist to join our AI research team. You will design and implement algorithms for agent harness and post-training pipelines, develop RL environments and reward models, and conduct training runs to improve model capabilities for agentic applications.

You will build evaluation benchmarks, optimize multi-GPU training, and collaborate across research and engineering to advance agentic AI while upholding privacy