Senior Machine Learning Engineer

August 15

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Iterable

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Artificial Intelligence • B2B • Marketing

Iterable is an AI-powered cross-channel marketing platform that enables businesses to engage consumers through integrated messaging across email, mobile, web, and more. It supports enterprises in designing and automating personalized marketing campaigns that leverage real-time data to enhance customer experiences. Iterable offers tools for data activation, segmented messaging, and dynamic campaign creation, allowing marketers to build individualized customer journeys and maximize campaign impact through seamless cross-channel communication. With a focus on enterprise solutions, it facilitates the transformation of marketing operations into secure and scalable systems.

501 - 1000 employees

Founded 2013

🤖 Artificial Intelligence

🤝 B2B

💰 $200M Series E on 2021-06

📋 Description

• Senior Machine Learning Engineer to join a cross-functional machine learning team shaping the future of Iterable's platform AI capabilities; architect and develop robust systems for feature engineering and large-scale model training—collaborating across teams and guiding technical direction. • Build end-to-end ML workflows and reusable, scalable ML infrastructure to accelerate experimentation and bring intelligent features to life. • Independently lead large-scale machine learning initiatives—delivering capabilities for scalable feature engineering, data processing, and model training on Databricks. • Design, build, and deploy machine learning models that enable partners to reach the right user with the right message at the right time. • Own the complete lifecycle of ML platform features: requirements gathering, architecture, implementation, deployment, and post-launch support. • Mentor colleagues through code reviews and knowledge sharing to grow engineering rigor.

🎯 Requirements

• 5+ years of experience in machine learning engineering, data infrastructure, or platform engineering, preferably in a SaaS environment. • Demonstrate a strong track record leading multi-stakeholder projects that deliver platform features, scalable ML tooling, or end-to-end training systems. • Proficiency with Python (with a preference for experience in distributed data processing environments like Databricks, Spark, or similar platforms). • Hands-on experience with large-scale data pipelines, distributed systems, and cloud data storage (Databricks Delta, Spark, Kafka, Postgres, etc.). • Exhibit a product-minded approach: comfortable partnering with product managers and data practitioners to balance trade-offs across usability, scalability, and complexity. • Possess curiosity and adaptability to master new ML and data technologies, frameworks, and best practices. • Communicate and collaborate effectively within remote and distributed teams. • Bonus Points: • Experience building or operating ML platforms on Databricks. • Scala development experience • Familiarity with ML workflow orchestration tools (e.g., MLflow, Kubeflow, Airflow) and interest in automating model development, testing, and deployment. • Exposure to generative AI or large language model workflows within an agentic or conversational UX context. • Experience designing developer-facing APIs or tools to empower other ML engineers or data scientists. • Success working in remote-first or globally distributed engineering organizations.

🏖️ Benefits

• 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