Machine Learning Engineer, Fullfillment Team

Machine Learning Engineer, Fullfillment Team

This job is no longer open
Lime operates electric scooters and bikes, but our mission is larger. We believe in transforming cities through green, affordable, and accessible transportation for everyone. Headquartered in San Francisco, USA, we operate in more than 210 cities in 31 countries, with plans to expand responsibly. To do that, we need great people.

As a Machine Learning Engineer at Lime, you will have the chance to drive detailed analytics decisions and build effective and robust machine learning solutions to scale and optimize our business. On a typical day, you’ll be working alongside a group of engineers, data scientists, and PMs with experience from top companies.

The Fulfillment team builds the state-of-the-art algorithm that delivers the vehicles to the right place at the right time based on our demand. You will be responsible for solving problems ranging from demand forecasting, supply positioning, to labor forecasting, parking recommendation etc. You will own the entire ML cycle from data collection, cleaning, to training models and deploying them to production. Your work will profoundly impact customer’s satisfaction, Lime’s gross revenue, and long term success of the business.

What You'll Do:

    • Understand business objectives, set up target metrics, and develop models that help to achieve them.
    • Understand and explore data through data visualization.
    • Prepare the raw dataset through data collection and data cleaning.
    • Generate the training dataset through feature engineering.
    • Choose the best ML model to solve the problem, design loss functions and define validation strategie.
    • Train models and tune their hyperparameters.
    • Analyze the errors of the model and design strategies to overcome them.
    • Deploy models to production and optimize resource utilization.

About You:

    • 2+ years experience as a Machine Learning Engineer or similar role
    • 2+ years of experience in SQL
    • Proficiency with Python and basic libraries for machine learning such as scikit-learn,  NumPy, and Pandas
    • Knowledge of probability, statistics, and ML algorithms
    • Experience in experimentation techniques and design
    • Excellent communication skills
    • Preferred: Proficiency with a deep learning framework such as TensorFlow or Keras
    • Preferred: Experience with handling large datasets
Remote Friendly. You can work close to where you love to live and still be a key part of Lime (US & Canada only)

Lime is an Equal Opportunity Employer, but that’s only the start. We want people with different backgrounds, abilities, identities, and mindsets to join us—not just to do great work, but to build a better, more representative world.

This job cannot be performed in Colorado
This job is no longer open
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