Machine Learning Engineer, Fullfillment Team

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me! 

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

What we offer:

• Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions
• Scale with a rapidly growing organization, with significant opportunity for growth
• Play a role in the transformation of urban mobility and sustainability
• Work with a team of successful, fun and motivated people
• Competitive salary and benefits

In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $105,000, plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.
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Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.