Remote Senior Data Platform Engineer (ML & AI Ops)

Allocate; Menlo Park (CA); Remote; USD 165,000 - 185,000; Full time

Benefits offered by this job

Medical, dental, and vision

401(k)

PTO

Job summary

Allocate is seeking a Data Platform Engineer to help lay the technical foundation for our future. You will build, train, and deploy ML/LLM models in production, with a focus on robust evaluation and quality monitoring.

You will collaborate across teams to ship ML-powered capabilities, applying your Python expertise and experience with model fine-tuning. This is a fully remote, senior role with a competitive base salary and benefits.

Qualifications

• 4+ years of applied ML / LLM engineering in production environments.
• Experience taking models from prototype to reliable production systems.
• Hands-on model fine-tuning and rigorous evaluation discipline.
• Proficiency with Git and version control systems.
• Familiarity with AI-assisted development tools such as Claude Code, OpenAI Codex, or Cursor.

Responsibilities

• Build, train, and improve machine-learning models for production use.
• Develop evaluation and feedback loops that measurably improve model performance over time.
• Stand up tooling to measure, monitor, and track model quality.
• Evaluate new models and techniques, bringing the best into production.
• Collaborate cross-functionally to ship ML-powered capabilities.

Skills

ML Engineering

LLM Engineering

Python

Production Systems

Model Fine-tuning

Git

Education

Bachelor's degree in Computer Science

Tools

Claude Code

OpenAI Codex

Cursor

Job description

Allocate is seeking a Data Platform Engineer to help lay the technical foundation for our future. You will build, train, and deploy ML/LLM models in production, with a focus on robust evaluation and quality monitoring.

You will collaborate across teams to ship ML-powered capabilities, applying your Python expertise and experience with model fine-tuning. This is a fully remote, senior role with a competitive base salary and benefits.