Machine Learning Engineer
Hightouch
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Their AI agents reimagine marketing workflows, enabling marketers to create content, plan campaigns, and execute strategies with exceptional velocity and performance. Built at the intersection of advances in LLMs, agentic AI, and cloud data warehouses like Snowflake and Databricks, Hightouch partners with industry leaders including Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
About the Role - Machine Learning Engineer
This senior machine learning engineer role will expand Hightouch's data activation products with an intelligence layer. The work involves developing solutions for personalization, automated experimentation, predictive audiences, content generation, and budget optimization by utilizing customer data and advanced ML methods. Responsibilities include customer research, problem definition, predictive modeling, ML infrastructure, and close collaboration with customers.
Key Responsibilities
- Develop personalization and recommendation models
- Automate experimentation for messaging strategies
- Design models for predictive audience analysis
- Leverage LLMs for content generation solutions
- Optimize marketing budgets through data-driven insights
Interview Process
The interview process includes an introductory call, system design screen, machine learning modeling interview, system design interview, and a final hiring manager chat. Note that Hightouch limits applications to one role per candidate.
Key skills/competency
- Machine Learning
- Data Activation
- Personalization
- Predictive Modeling
- Automation
- System Design
- LLMs
- Cloud Data Warehouses
- Research
- Customer Collaboration
How to Get Hired at Hightouch
- Research Hightouch culture: Study their cutting-edge AI marketing approach.
- Customize your resume: Highlight ML and data skills.
- Showcase projects: Include ML modeling and system design.
- Prepare for design interviews: Review data processing architecture.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background