Lime currently has five active job listings related to artificial intelligence. The majority of these roles, 40%, are focused on application and serving infrastructure. Engineering is the primary function for these positions, with hiring occurring in Canada and the United States. Frequent technology tags include model_serving, vision, and inference_infra, suggesting a focus on deploying and optimizing AI models. In the last 30 days, Lime has posted two new AI roles, a decrease from the previous 30-day period.
Currently tracking 5 active AI roles, with 49 new openings in the last 4 weeks. Primary focus: Serve · Engineering.
Lime currently has 5 active AI-related roles in our index. The most common open titles are: Engineering Manager, Lime Vision (2), Senior MLOps & Data Systems Engineer (2), Staff Machine Learning Engineer, Supply. Most positions are in Engineering.
Lime's active AI hiring is concentrated in: application (40%), serving infrastructure (40%), agents (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Lime is hiring AI talent in: Canada (3 roles), United States (2 roles).
Job postings at Lime most frequently mention: ML Ops, System Design, ML System Deployment, Model Monitoring, Experiment Tracking.
In the past 30 days, Lime has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Operations Manager, In Warehouse Operations Manager for Lime's warehouse in Vienna, Austria. Responsible for end-to-end warehouse success, including team management, vehicle repairs, logistics, and process optimization. Requires data-driven insights to drive efficiency, safety, and fleet reliability. | — | 0 |
| Operations Associate Operations Associate role at Lime, a micromobility company. Focuses on managing warehouse operations, training staff, ensuring safety and compliance, defining processes, monitoring KPIs, and collaborating with cross-functional teams including Government Relations, Engineering, and Product. Requires experience in operations, team leadership, and knowledge of the Vienna region. Familiarity with data analysis tools is a plus. | — | 0 |