About Keplar

Keplar is the world's first creative intelligence and customer simulation platform that enables companies to co-create products and marketing campaigns with "digital twins" of their end customers. These "digital twins" (agents) can answer insights questions, generate creatives, provide feedback on products and features, and help make more customer-centric decisions.

Keplar was founded by engineers that have worked with the world's best technical teams at companies like Google, Apple, Tesla, Meta, etc and backed by some of the most prestigious investors in Silicon Valley.

We’re looking for an Machine Learning Engineer to help us take the next big leap in customer understanding and predictive analytics. As an ML Engineer at Keplar, you’ll be critical to helping us model, benchmark and shape our core product.

Why You Should Join Us

The market opportunity is rare, massive, and timely. Every business is in pursuit of creating great products. There are countless decisions to make in every product life cycle, from concept testing to design and marketing. All of these can be iteratively optimized through relevant and data-driven feedback from simulated customer audiences.

We are working on an ambitious technical vision which means solving some of the most interesting problems in software today, such as:

• Multi-modal behavioral modeling using foundational models
• Durable orchestration and execution of massively parallel generative workflows
• Development of new AI-assisted data organization and co-creation user experiences
• Development of agentic systems using LLMs
• Organization of massive amounts of privacy preserving data

This role is a great way to:

• Get your hands dirty working on an enterprise-grade application using applied deep learning
• Grow your network and gain deep technical mentorship
• Work with low-ego, impact-led people who value your opinion
• Get in on the ground floor of a potentially massive startup opportunity

Job Responsibilities: Your Impact