Lime

2 Jobs

2,286 Employees

About the Company

Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.

Listed Jobs

Company Name: Lime
Job Title: Staff Software Engineer, Task Platform
Job Description: **Job title** Staff Software Engineer – Task Platform **Role Summary** Architect, develop, and scale backend systems that drive labor planning, vehicle positioning, and task routing across a global micromobility fleet. Lead technical strategy, ensure engineering excellence, and mentor a growing engineering team. **Expectations** - Minimum 6 years of professional software development with demonstrable high‑impact projects. - Proven ability to translate business requirements into robust, scalable technical solutions. - Strong cross‑functional collaboration with product managers, operations, and leadership. - Experience in technical leadership, mentorship, and shaping engineering culture. **Key Responsibilities** - Lead end‑to‑end project delivery with product, operations, and engineering teams. - Own technical direction, set and enforce engineering standards, and make decisive architecture choices. - Design, implement, and maintain scalable, high‑availability backend services (microservices, APIs). - Conduct full‑cycle incident response: mitigation, root‑cause analysis, and prevention. - Mentor junior engineers, conduct code reviews, and facilitate professional growth. - Interview candidates and contribute to talent acquisition. - Advise executive leadership on technology adoption, process improvements, and operational tooling. - Foster a culture of continuous learning, quality, and high performance. **Required Skills** - Proficiency in backend languages: Ruby on Rails and/or Golang. - Expertise in distributed systems, microservices architecture, and API design. - Strong performance tuning, scalability, and reliability expertise. - Experience with routing, labor planning, ticketing, and task prioritization tooling. - Excellent communication, problem‑solving, and collaboration skills. **Required Education & Certifications** - Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, or related field. - Certifications (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect) are a plus but not required.

Company Name: Lime
Job Title: Machine Learning Engineer, Positioning
Job Description: **Job title** Machine Learning Engineer – Positioning **Role Summary** Design, build, and scale production‑ready ML systems that forecast demand and optimize vehicle placement for a global micromobility service. Collaborate with data scientists, engineers, and operations to deploy models that improve rider experience and operational efficiency. **Expectations** * 1–3 years professional experience in software engineering or applied ML, with at least one production‑quality system delivered. * Proficiency in Python, modern ML frameworks (PyTorch, TensorFlow), and data tools (SQL, Pandas, Spark, Airflow). * Demonstrated ability to train, evaluate, and monitor models on real‑world data, managing performance drift over time. * Strong problem‑solving skills and effective cross‑functional collaboration. **Key Responsibilities** 1. Develop, test, and deploy ML models and optimization services that enhance demand forecasting and vehicle positioning. 2. Productionize research models in partnership with data scientists, ensuring scalability, reliability, and performance. 3. Build and maintain end‑to‑end data pipelines and feature engineering workflows feeding the ML stack. 4. Design and implement new ML‑driven features, collaborating with product and operations to deliver measurable business value. 5. Monitor deployed models, iterate to maintain accuracy, and adapt to changing real‑world conditions. 6. Participate in technical discussions, share knowledge, and contribute to best‑practice improvements across ML engineering practices. **Required Skills** * Python programming * ML frameworks: PyTorch or TensorFlow * Data manipulation: SQL, Pandas, Spark * Workflow orchestration: Airflow or equivalent * Model training, evaluation, and monitoring in production * Feature engineering, data preprocessing, and model performance management * Cross‑functional communication and collaborative development **Preferred Skills (non‑mandatory)** * Time‑series or forecasting model experience * Optimization or operations research knowledge (logistics/resource allocation) * A/B testing, causal inference, or experimentation skills * Geospatial/spatiotemporal data expertise * MLOps: shadow models, feature/model stores, versioning **Required Education & Certifications** Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or related field. (Equivalent experience may be considered.)