Machine Learning Engineer, AI Decisioning

Machine Learning Engineer AI Decisioning (Full-time)

Location: Remote (North America) / San Francisco (Optional)

Salary Range: $200000 - $260000 USD

We are expanding our data activation products to include a powerful intelligence layer and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems but there is immense potential in helping them make smarter decisions about which customers to message what content to use and when to send messages.

A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning we aim to deliver a step-function impact for our customers. Given our access to first-party customer data we are perfectly positioned to build an intelligence layer that leverages this rich data source.

Your responsibilities will include working on complex problems such as:

• Personalization and Product Recommendation: Designing and implementing models to personalize messages and content (including product catalogs) to ensure the most relevant content is delivered to each individual user.
• Automated Experimentation: Developing intelligent systems to help customers efficiently navigate and automate A/B testing and experimentation across a vast number of messaging options.
• Predictive Audiences: Building robust models to predict customer actions such as conversion churn or other desired behaviors to create targeted audiences.
• Content Generation: Leveraging recent advancements in Large Language Models (LLMs) to help marketers generate compelling text images and creative assets.
• Budget Optimization: Creating analytical tools and models to assess which marketing spend drives the most incremental conversions and identifies where the marginal Customer Acquisition Cost (CAC) is lowest.

• Experience: 5 - 15 years of professional experience in machine learning and software development.
• Domain Expertise: Deep understanding and practical experience building and deploying machine learning models particularly in areas like personalization recommendation systems time-series analysis or optimization.
• Technical Skills: Strong software engineering fundamentals and experience working with large-scale data warehouses/databases.
• Communication: Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Mindset: A strong first-principles thinking approach to problem-solving a growth mindset and a motivated persistent approach to achieving goals.

• Competitive Compensation: Highly competitive salary in the range of $200K - $260K USD .
• Equity: Competitive equity package in a high-growth company with a recent $1.2B valuation backed by leading investors.
• Visa Sponsorship: Visa sponsorship is available for qualified candidates.
• Work Flexibility: Full-time remote position supporting work across North America .
• Impact: The opportunity to make a meaningful impact by defining the future of AI-powered customer data activation.

Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

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