Machine Learning Engineer, Lime

• 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
• If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page

Desirable

• As a Machine Learning Engineer, you’ll help design, build, and scale the ML systems that power these decisions. You’ll work closely with data scientists, backend engineers, and operations teams to turn data-driven insights into production-ready models that improve our rider experience every day
• 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