Currently tracking 22 active AI roles, with 48 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $245k–$345k (avg $296k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, Fraud Machine Learning Engineer focused on fraud detection and prevention for a livestream shopping platform. The role involves designing, training, and deploying ML models (traditional and LLM-powered), building intelligent user graphs, developing data pipelines and real-time inference systems, conducting data analysis, and implementing model monitoring. Collaboration with cross-functional teams and staying ahead of emerging fraud tactics are key. | ShipData | 8 |
| Machine Learning Engineer, Growth Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion. |
| Ship |
| 7 |
| Machine Learning Engineer, Growth Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion. | Ship | 7 |
| Software Engineer, Discovery (Search) Software Engineer for the Search team at Whatnot, responsible for building the best search experience for users to find relevant content (streams, products, community). Focuses on taxonomy, search/filters, retrieval/ranking algorithms, and content understanding, using data-informed decisions and shipping quickly. Experience in applied statistical and machine learning fields like Search, Recommendations, Fraud, and Experimentation is required. | Ship | 5 |
| Software Engineer, Discovery (Feed) Software Engineer for Whatnot's Discovery Feed & Personalization team, focusing on building and scaling backend systems for recommendation and exploration features. The role involves shipping product features, maintaining low-latency feed experiences, enabling exploration systems for sellers, and partnering with ML teams. Requires experience in discovery-related fields and building scalable backend systems. | ShipAgent | 5 |