Iterable is hiring a
Senior Machine Learning Engineer

Summary

Join a dynamic team at Iterable, a top-rated AI-powered customer engagement platform, as a Senior Machine Learning Engineer. You'll lead data projects to launch new machine learning products and improve predictive features in our core platform.

Requirements

• Masters or PhD in CS, Math, Physics, or similar engineering/science discipline or equivalent practical experience
• Experience with machine learning algorithms and tools, artificial intelligence, deep learning, natural language processing, or other ML disciplines
• Expertise with data exploration, visualization, and SQL queries
• Experience with large-scale data and commercial ML platforms
• Prior industry experience building end-to-end machine learning systems and shipping to production
• Proficiency in problem-solving and analytical skills, with proven experience in innovating solutions for complex challenges
• Strong communication skills and are adept at conveying technical concepts to non-technical stakeholders and collaborating across teams

Responsibilities

• Collaborate with engineers, product managers, and cross-functional development teams to integrate AI/ML technologies into product offerings that will allow customers to better target and personalize messages
• Evaluate and validate algorithm performance to ensure reliability, robustness, and generalization across datasets and scenarios, and present them to stakeholders
• Develop, and maintain machine learning pipelines for Iterable’s suite of data products using Spark, Scala, and Python
• Own end-to-end ML development from prototyping to deploying to production to enable AI features at scale
• Decide when to use out-of-the-box solutions vs. building custom solutions and utilizing both
• Work closely with other machine learning and data platform engineers to improve the tools and processes used for developing data products
• Mentor junior engineers, providing guidance, support, and technical leadership in AI algorithm development and best practices, especially in the deep learning and language modeling space
• Maintain expertise in the latest advancements in AI technology, exploring innovative approaches and techniques for practical application

Benefits

• Paid parental leave
• 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