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 3 active AI-related roles in our index. The most common open titles are: Engineering Manager, Lime Vision (2), Staff Machine Learning Engineer, Supply. Most positions are in Engineering.
Lime's active AI hiring is concentrated in: application (67%), agents (33%). 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 (2 roles), United States (1 role).
Job postings at Lime most frequently mention: System Design, ML Ops, Python, Machine Learning, Reliability Engineering.
In the past 30 days, Lime has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior MLOps & Data Systems Engineer Senior MLOps & Data Systems Engineer for Lime's Vision team, focusing on building and scaling ML infrastructure for model development, evaluation, and deployment in micromobility applications like object detection and parking validation. Emphasizes data-centric ML and end-to-end pipeline ownership. | ServeData | 8 |
| Senior Embedded Vision Engineer Senior Embedded Vision Engineer to develop, optimize, and deploy computer vision models for real-time inference on edge devices for Lime's micromobility vehicles. Focus on performance, reliability, and scalability in production environments, working with embedded systems and sensor fusion. | ServePost-train |
| 8 |
| Senior MLOps & Data Systems Engineer Senior MLOps & Data Systems Engineer to build and scale core data and ML infrastructure for the Lime Vision team, focusing on designing and developing systems and workflows for reliable, repeatable, and scalable model development, evaluation, and deployment. The role involves building pipelines connecting data ingestion, annotation, training, evaluation, and deployment, with an emphasis on data-centric ML and end-to-end pipeline ownership. | ServeData | 7 |
| Senior Embedded Vision Engineer Senior Embedded Vision Engineer to develop, optimize, and deploy computer vision models for real-time inference on edge devices for Lime's electric vehicles. Focus on performance, reliability, and scalability in production environments, working with embedded hardware and sensor fusion. | Serve | 7 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer to build and lead Lime's ML Center of Excellence, focusing on ML infrastructure, development processes, and operational best practices for production systems. | Serve | 7 |