Machine Learning Engineer, AI Decisioning

Hightouch is seeking a talented Machine Learning Engineer to join their team and help expand their data activation products with an intelligence layer. This is an exciting opportunity to work at a company that has pioneered the Composable Customer Data Platform (CDP) and is now venturing into AI-driven decisioning.

The role involves building sophisticated machine learning solutions that will help companies make better decisions about customer messaging, content personalization, and marketing optimization. You'll be working on cutting-edge problems including:

• Developing personalization and product recommendation systems to help companies deliver the most relevant content to their users
• Creating automated experimentation frameworks to optimize customer messaging
• Building predictive models to identify users likely to convert or churn
• Implementing content generation systems using advanced LLMs
• Designing budget optimization systems to maximize marketing ROI

As an early machine learning engineer in this initiative, you'll have the opportunity to shape the technical direction and build comprehensive solutions from the ground up. Your responsibilities will span the entire machine learning lifecycle, from customer research and problem definition to model development and production deployment.

The company has a strong foundation, serving hundreds of companies including major clients like Autotrader, Calendly, Cars.com, Monday.com, and PetSmart. They've recently secured Series C funding at a $1.2B valuation and are backed by top-tier investors including Sapphire Ventures, Amplify Partners, and ICONIQ Growth.

The team culture emphasizes:

• Making meaningful impact for customers
• First-principles thinking
• Quick and efficient execution
• Compassion and kindness in team interactions
• Strong communication
• Growth mindset
• Motivation and persistence

This is a senior-level position with a competitive salary range of $200,000 - $260,000 USD per year, location-independent in line with their remote-first policy. While they're looking for candidates with 3+ years of experience, they value impact and growth potential more than years of experience.

The interview process is thoughtfully designed to evaluate product sense, system architecture capabilities, and cultural alignment, without traditional coding interviews. It includes:

1. Introductory call (15-30m)
2. System design screen (45m)
3. Machine learning modeling interview (90m)
4. System design interview (90m)
5. Hiring manager interview (30m)

Join Hightouch to help build the next generation of AI-powered marketing personalization tools and make a significant impact in how companies leverage their customer data.