Senior ML Engineer: Build Production AI Platforms (Remote)

Iterable; Atlanta (GA); On-site; USD 133,500 - 212,000; Full time

Benefits offered by this job

Competitive salaries, meaningful equity, & 401(k) plan

Medical, dental, vision, & life insurance

Balance Days (additional paid holidays)

Fertility & Adoption Assistance

Paid Sabbatical

Flexible PTO

Monthly Employee Wellness allowance

Monthly Professional Development allowance

Pre-tax commuter benefits

Complete laptop workstation

Job summary

Iterable is seeking a Senior Machine Learning Engineer to build the core ML foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments, working closely with backend, frontend, and product teams.

Responsibilities include designing Machine Learning components, operationalizing RAG use cases, and developing evaluation frameworks. The ideal candidate will have 5+ years of relevant experience, strong Python or TypeScript skills, and excellent collaboration capabilities.

Qualifications

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.

Responsibilities

• Design and build Machine Learning platform components that support agentic systems.
• Develop generalized evaluation frameworks for LLM- and agent-based features.
• Collaborate with product, design, and engineering to align ML system design with user experience.

Skills

Python

TypeScript

Machine Learning workflows

RAG architectures

Retrieval systems

Tools

Mastra

Job description

Iterable is seeking a Senior Machine Learning Engineer to build the core ML foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments, working closely with backend, frontend, and product teams.

Responsibilities include designing Machine Learning components, operationalizing RAG use cases, and developing evaluation frameworks. The ideal candidate will have 5+ years of relevant experience, strong Python or TypeScript skills, and excellent collaboration capabilities.