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Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova) at Iterable - ApplyBlast

Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova)

Iterable

18 hours ago

3.6 on Glassdoor

Remote

Full Time

Senior

0 applicants

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About this role

As a Senior Machine Learning Engineer on Iterable's Nova intelligence layer, you will lead the evaluation and automatic optimization of AI models and agents to enhance customer interactions. You will build evaluation systems, create feedback loops for continuous improvement, and apply recent research to production environments. The role involves mentoring engineers and shaping the technical direction of AI initiatives within the company.

Responsibilities

Build evaluation systems for models and agents including benchmarks and LLM judges
Create automated loops to diagnose failures and optimize prompts and agent harnesses
Mentor engineers and set technical direction for Nova AI intelligence layer

Skills

Qualifications

Master's or PhD in Computer Science, Machine Learning, AI, or a related field

About Iterable

iterable.com

Headquarters

San Francisco, California, United States

Company Size

501-1000 employees

Founded

2013

View Profile

Iterable is an AI-powered cross-channel growth marketing platform that helps brands orchestrate personalized, data-driven customer experiences across email, SMS, push, in-app and other channels. It offers segmentation, multi-step journey orchestration, A/B testing, and machine-learning-driven personalization and optimization to boost engagement and lifetime value. The platform includes APIs and integrations to centralize customer data, automate campaigns, and measure performance in real time. Marketers use Iterable to deliver dynamic, timely messages that scale retention and revenue-focused programs.