Machine Learning Engineer, Positioning

Job not on LinkedIn

October 28

Apply Now

Receive Emails with Similar Jobs

Lime

WebsiteLinkedInAll Job Openings

Transport • eCommerce • SaaS

Lime is a transportation company that provides shared electric scooters and bikes in urban areas, making it easy for users to travel short distances. With a focus on safety, sustainability, and community, Lime aims to offer an eco-friendly alternative to traditional transportation methods. Users can easily locate and rent vehicles through the Lime app, promoting responsible riding and parking practices to enhance the urban mobility experience.

501 - 1000 employees

Founded 2017

🚗 Transport

🛍️ eCommerce

☁️ SaaS

💰 $418M Convertible Note on 2021-11

📋 Description

• Develop, test, and deploy ML models and optimization services that improve Lime’s demand forecasting and vehicle positioning capabilities. • Collaborate with data scientists to productionize research models and ensure scalability, reliability, and performance. • Build and maintain data pipelines and feature engineering workflows that feed Lime’s ML systems. • Contribute to the design and implementation of new ML-driven features, working with product and operations partners to deliver measurable business value. • Monitor and iterate on deployed models to maintain accuracy and adapt to real-world changes. • Participate in technical discussions, share learnings, and contribute to improving ML engineering best practices across the team.

🎯 Requirements

• 1–3 years of professional experience in software engineering or applied ML, with a record of delivering production-quality systems. • Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Pandas, Spark, Airflow). • Experience training and evaluating models on real-world data, including managing model performance over time. • Solid understanding of ML system fundamentals such as data preprocessing, feature extraction, and model monitoring. • Strong problem-solving skills and ability to work effectively in a cross-functional environment. • Preferred Experience: Experience with time-series or forecasting models. • Familiarity with optimization or operations research concepts, especially for logistics or resource allocation problems. • Knowledge of A/B testing, causal inference, or other experimentation techniques. • Exposure to geospatial or spatiotemporal data in applied ML contexts. • Proficiency in MLOps, such as shadow models, feature/model stores, and versioning.

🏖️ Benefits

• Comprehensive Health & Wellness: A choice of medical, dental, and vision plans, with Lime covering 100% of the employee-only premium for many plans. We also provide company-paid life and disability insurance and company-funded mental health benefits. • Financial & Retirement Planning: 401(k) plan with both pre-tax and Roth options, and access to a Health Savings Account (HSA) with a monthly company contribution. • Family & Fertility Support: Paid parental leave for birthing and non-birthing parents, plus fertility and family-forming benefits with Lime funding through Carrot (up to specified limits). • Time Off & Flexibility: Flexible vacation policy for exempt employees, paid sick time, and a calendar of paid company holidays. • Unique Lime Perks: Complimentary use of Lime vehicles in participating cities, a monthly phone allowance, dedicated learning and development days, and access to perks including One Medical, Wellhub, and Headspace.