Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires a strong platform mindset, passion for building end-to-end ML workflows, ability to tackle real-world data problems, and thrive on ownership from ideation through deployment. Key responsibilities include leading large-scale machine learning initiatives for scalable feature engineering, data processing, and model training on Databricks.
Iterable has a global presence with offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide, indicating support for remote work.
Iterable fosters a culture of innovation, collaboration, and inclusion, powered by core values of Trust, Growth Mindset, Balance, and Humility, where ideas are valued and individuals are empowered to do their best work.
This information is not specified in the job description.
Strong candidates have a growth mindset, skills beyond the job description, a platform mindset, and passion for building scalable ML infrastructure, with the ability to identify impactful opportunities, prototype solutions, and advance platform capabilities.
Customer engagement platform for personalized marketing
Iterable is a customer engagement platform that helps businesses create personalized marketing strategies using real-time data. The platform allows companies to design unique content tailored to each customer and orchestrates messages across multiple channels to enhance communication. Iterable operates on a subscription-based model and incorporates AI to improve the relevance of marketing messages, offering advanced personalization features. The company's goal is to empower marketers to move beyond traditional methods and thrive in a challenging economic environment.