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Lime

Lime

Consumer · Micromobility

Currently tracking 5 active AI roles, with 49 new openings in the last 4 weeks. Primary focus: Serve · Engineering.

Hiring
5 / 9
Momentum (4w)
↓-4 -8%
49 opens last 4w · 53 prior 4w
Salary range
—
Tracked since
Feb 17
last role today
Hiring velocityscroll left for older weeks
1 new role
Nov 3
1 new role
Dec 1
1 new role
Jan 26
2 new roles
Feb 16
1 new role
23
1 new role
Mar 9
5 new roles
16
1 new role
23
14 new roles
30
3 new roles
Apr 6
5 new roles
13
10 new roles
20
6 new roles
27
12 new roles
May 4
16 new roles
11
19 new roles
18
19 new roles
25
12 new roles
Jun 1
12 new roles
8
10 new roles
15
13 new roles
22
14 new roles
29
8 new roles
Jul 6
14 new roles
13

Frequently asked questions

  • What AI roles is Lime hiring for?

    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.

  • What stage of AI development does Lime focus on?

    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.

  • Where is Lime hiring AI talent?

    Lime is hiring AI talent in: Canada (3 roles), United States (2 roles).

  • What skills does Lime look for in AI roles?

    Job postings at Lime most frequently mention: ML Ops, System Design, ML System Deployment, Model Monitoring, Experiment Tracking.

  • How many AI roles has Lime posted recently?

    In the past 30 days, Lime has posted 0 new AI-related roles.

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.

Auto-generated from active job postings · last refreshed 2026-07-05

Jobs (5)

5 AI · 83 total active
Show
Active onlyAI only (≥ 7)
Stage
AllServe · 2Agent · 1Ship · 2
Function
AllEngineering · 5
Country
AllCanada · 3United States · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Engineering Manager, Lime Vision
Engineering Manager for Computer Vision at Lime, leading a team to develop and deploy advanced computer vision and ML solutions for intelligent transportation systems. The role involves technical leadership, people management, driving strategy, and overseeing the full ML lifecycle from concept to production, with a focus on embedded and edge AI.
ShipServeEngineeringUnited States5w ago8
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.
ServeDataEngineeringCanadaMay 118
Engineering Manager, Lime Vision
Engineering Manager for Computer Vision at Lime, leading a team to develop and deploy advanced CV/ML solutions for intelligent real-world systems, focusing on the full ML lifecycle from concept to production, including edge deployment and MLOps.
ShipServeEngineeringCanada5w ago7
Staff Machine Learning Engineer, Supply
Staff Machine Learning Engineer at Lime, focused on leading the technical vision and execution of ML systems for supply and fleet optimization. This role involves defining roadmaps, guiding a team, and hands-on contribution to production ML systems for forecasting and rebalancing vehicles in a dynamic city environment.
AgentEngineeringCanada6w ago7
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.
ServeDataEngineeringUnited StatesMay 117