We are looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer.
Hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations.
There is significant potential to assist companies in determining which customers to message, what content to include in messages, and when to send messages.
Much of the current work is done manually through intuition and guesswork, and we believe that adding machine learning could significantly enhance our customers' experiences.
Hightouch is well-positioned to leverage customer data from data warehouses and databases to build a powerful intelligence layer.
Key problems to be addressed include personalization and product recommendation, automated experimentation, predictive audiences, content generation, and budget optimization.
As an early machine learning engineer, you will help build comprehensive solutions from scratch, with responsibilities including customer research, problem definition, predictive modeling, machine learning infrastructure, and customer collaboration.
We seek talented, intellectually curious, and motivated individuals interested in tackling these challenges.
This is a senior role focused on impact and growth potential rather than years of experience.
The salary range for this position is $200,000 - $260,000 USD per year, location independent in accordance with our remote-first policy.
Requirements:
Candidates should possess a strong understanding of machine learning principles and practices.
Experience in building predictive models and machine learning infrastructure is essential.
A background in data processing and system design is required.
Candidates must demonstrate product sense and the ability to architect backend and distributed systems.
We value alignment with Hightouch’s values and operating principles.
While this is a senior role, we prioritize impact and potential for growth over years of experience.
Benefits:
The position offers a competitive salary range of $200,000 - $260,000 USD per year.
The role is fully remote, allowing for location independence.
Employees will have the opportunity to work on innovative projects that leverage machine learning to enhance customer experiences.
The company fosters a culture of growth and impact, providing opportunities for professional development.
The interview process is designed to evaluate fit without traditional programming interviews, focusing instead on product sense and system architecture.
