Machine Learning Engineer
jobtailorPhoenix (AZ)
About the role
Responsibilities:
Build evaluation benchmarks and metricsBuild and iterate on agent harness, including context engineering, agent memory, tools, skillsDevelop robust, reproducible training workflows from data ingestion and preprocessing through model checkpointing and deploymentDesign RL environments and reward functionsDebug and optimize training runsConduct training runs to improve model capabilities for agentic applicationsRequirementsBS 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 researchProficient in PythonProficient in LLM architectures, optimization and model training dynamics
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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