Machine Learning Engineer

Jobtailor; Arizona; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in United States (Arizona) is seeking an experienced ML Engineer to advance agent-based systems. You will design evaluation benchmarks, develop agent harnesses, and streamline data-to-deployment workflows for scalable model training.

The role requires strong Python proficiency, hands-on ML engineering experience, and deep knowledge of LLM architectures. You will work on RL environments, memory, tools, and rewards to improve agentic capabilities.

Qualifications

• BS in CS, EE, Math or related STEM field.
• 5+ years software development experience.
• 2+ years hands-on ML engineering, data science or ML research.
• Proficient in Python.
• Proficient in LLM architectures, optimization and training dynamics.

Responsibilities

• Build evaluation benchmarks and metrics.
• Build and iterate on agent harness, including context engineering, agent memory, tools, skills.
• Develop robust, reproducible training workflows from data ingestion and preprocessing through model checkpointing and deployment
• Design RL environments and reward functions
• Debug and optimize training runs
• Conduct training runs to improve model capabilities for agentic applications

Skills

Python

LLM architectures

Model training

Software development

Education

BS in CS, EE, Math or related STEM field

Job description

Responsibilities

• Build evaluation benchmarks and metrics
• Build and iterate on agent harness, including context engineering, agent memory, tools, skills
• Develop robust, reproducible training workflows from data ingestion and preprocessing through model checkpointing and deployment
• Design RL environments and reward functions
• Debug and optimize training runs
• Conduct training runs to improve model capabilities for agentic applications

Requirements

• BS in CS, EE, Math or related STEM field
• 5+ years software development background
• 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