Currently tracking 111 active AI roles, with 191 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).
| Title | Stage | AI score |
|---|---|---|
| Security Engineer II - Threat Modeling & AI Security Engineer focused on red teaming AI agents and developer tools, identifying vulnerabilities, and driving mitigation efforts. The role involves translating AI security standards into controls, scaling testing with automation, and communicating risk to stakeholders. | Agent | 7 |
| Staff Data Scientist (Fraud, Risk) Uber is seeking a Staff Data Scientist for their Global Safety & Risk Team in Sao Paulo, Brazil. The role focuses on applying data analysis, machine learning, and statistical modeling to identify and prevent safety incidents. Key responsibilities include analyzing imbalanced datasets, designing and implementing binary classification models, generating insights from risk data, conducting complex experiments (Diff-in-Diff, Synthetic Controls), and defining success metrics. The role requires experience in building and deploying binary classification systems for high-stakes applications, experimental design beyond A/B testing, handling extreme class imbalance, and proficiency in Python and SQL. Experience with geospatial data analysis and real-time inference systems is preferred. |
| Ship |
| 7 |
| Senior Data Scientist - Applied AI Senior Data Scientist role focused on applied AI and ML for Uber's Discovery Science team. The role involves designing and implementing ML models for recommender systems, unifying business interests, and applying advanced techniques like Deep Learning and Reinforcement Learning to solve complex problems. It requires end-to-end ownership of models, from hypothesis to production debugging in low-latency environments. | Ship | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at Uber on the Rider ML team, focused on developing and deploying ML infrastructure and ranking solutions for personalized rider experiences, optimizing homepage and product selection ranking with real-time, low-latency deep learning models. | Ship | 7 |
| Sr. Machine Learning Engineer Uber is seeking a Sr. Machine Learning Engineer to enhance rider experience through personalized recommendations and tailored services at scale. The role involves developing and deploying deep learning models for real-time, ultra-low latency applications, focusing on ranking solutions and ML infrastructure for rider engagement across various touchpoints. The position requires strong software engineering skills, expertise in ML methodologies, and experience with ML frameworks and data pipelines. | ShipServe | 7 |