Senior Machine Learning Engineer, Recommendation

We are seeking a seasoned machine learning engineer to shape the future of personalized content discovery within an innovative, AI-driven consumer platform. In this senior individual contributor role, you will own the recommendation, search, and ranking systems that connect users with engaging, relevant interactive experiences. You will design and deploy production-grade machine learning models that influence what people discover, play, and return to. Working at the intersection of AI, consumer social products, and interactive entertainment, you will turn complex behavioral data into meaningful product improvements. You will collaborate closely with product, data, and engineering teams to experiment rapidly, measure impact, and deliver scalable solutions. This is an opportunity to take significant technical ownership, influence long-term ML architecture, and build next-generation discovery experiences in a fast-moving, remote-first environment.

• At least 5 years of industry experience developing and deploying production machine learning systems, with senior-level ownership of recommendation, search, ranking, advertising ranking, feed ranking, or content discovery.

• Hands-on experience building recommendation or search systems for consumer-facing applications.

• Background working on entertainment, social, gaming, short-form content, creator platforms, or other engagement-driven consumer products.

• Strong practical expertise in two-tower models, embedding-based retrieval, candidate generation, ranking algorithms, and offline and online model evaluation.

• Strong product intuition and understanding of relevance, engagement, retention, user satisfaction, cold-start problems, and content distribution.

• Ability to transform complex and imperfect behavioral data into useful modeling signals and measurable product improvements.

• Solid engineering fundamentals spanning machine learning development, data pipelines, backend integration, experimentation frameworks, and production deployment.

• Demonstrated ownership, rapid execution, analytical thinking, and clear communication in ambiguous, fast-paced product environments.

• Ability to collaborate effectively across technical and product teams while independently driving complex projects from concept to launch.

• Preferred: Experience with AI-powered recommendations, LLM-based ranking, semantic search, personalized content generation, or AI-native content understanding.

• Preferred: Familiarity with user-generated content ecosystems, creator marketplaces, or rapidly changing content catalogs.

• Preferred: Experience with multimodal machine learning involving text, images, video, interaction data, or AI-generated content.

• Preferred: Knowledge of explore-exploit strategies, contextual bandits, reinforcement learning, or long-term user value optimization.

• Preferred: Startup experience or a track record of building machine learning systems from the ground up with limited infrastructure.