AI/ML Engineer – Build the Future of Predictive Marketing

Build and deploy production-grade ML models for campaign optimization, user personalization, and creative intelligence in an AdTech environment. Own features end-to-end from experimentation to rollout, including ML lifecycle, real-time inference, and LLM-powered agentic workflows, with a focus on reliability and performance.

This role involves developing machine learning models and systems to enhance Figma's product intelligence. The engineer will work on features like smart suggestions, automation, and predictive analytics. Responsibilities include building and deploying ML models, and collaborating with data scientists and product teams.

This role focuses on developing and deploying machine learning models to solve business problems. The engineer will work with large datasets, build and optimize models, and collaborate with cross-functional teams to integrate AI solutions into production systems.

This role designs and implements machine learning models for user acquisition, engagement, and revenue optimization in games, collaborating with cross-functional teams to improve personalization and predictive capabilities.

This role drives customer success and growth initiatives from the founder's office, involving strategic account management, retention, and expansion. It requires a blend of customer-facing skills and growth-oriented strategies to maximize client value and revenue.

This role focuses on full-stack development with an emphasis on UI/UX for analytics applications. It involves building user-friendly interfaces and integrating them with backend systems to deliver next-gen analytics tools.

This role focuses on backend development using Python and Django to build AI-driven marketing solutions. It involves designing and implementing scalable backend systems for data processing and AI integration.