Machine Learning Engineer, AI Decisioning

Hightouch; San Francisco (CA); Remote; USD 200,000 - 260,000; Full time

Job summary

An innovative company is seeking a talented Machine Learning Engineer to join their team. In this role, you will develop cutting-edge solutions that leverage customer data to enhance personalization and automate marketing strategies. You will tackle exciting challenges such as predictive modeling and budget optimization, all while collaborating with a diverse team focused on impactful outcomes. This is a unique opportunity to shape the future of data-driven marketing in a supportive and growth-oriented environment. If you are passionate about machine learning and eager to make a difference, this role is perfect for you.

Qualifications

• Experience in building machine learning models and infrastructure.
• Strong background in data analysis and predictive modeling.

Responsibilities

• Develop machine learning solutions for personalization and product recommendations.
• Automate experimentation and predictive audience modeling.

Skills

Machine Learning

Predictive Modeling

Data Analysis

Statistical Analysis

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Machine Learning or AI

Tools

Python

TensorFlow

SQL

Data Warehousing

Job description

Machine Learning Engineer, AI Decisioning

Remote (North America)

About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We’re looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figure out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

Some of the problems we’ll be working on include:

• Personalization and Product Recommendation: Helping personalize messages with the most relevant content for each user.
• Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
• Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
• Content Generation: Helping marketers generate text, images, and creatives that are compelling to their customers.
• Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.

As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $260,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

• Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [45m]: Designing a data processing feature end-to-end.
• Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.