Job description
Responsibilities:
- Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Feature engineering
- Design, implement, and test machine learning models
- Write production modeling code; collaborate with software engineers to implement your models in production
- Design and run both simulated and live traffic experiments
- Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
Experience:
- Currently pursuing a Masters or PhD degree in mathematical sciences (Operations Research, Electrical Engineering/Computer Science, Statistics, Control Theory, Applied Mathematics, Theoretical Physics), Economics (Microeconomics Theory, Econometrics, Labor), Behavioral Sciences (Marketing Science, Behavioral Psychology), Machine Learning or NLP, Data Engineering; or a related field
- Experience coding in Python or R, SQL, NLP, and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
- Experimental design and analysis
- Expertise in Machine Learning fundamentals
- Bonus points: Experience in marketplace design, ridesharing, and/or transportation
Benefits:
- Great medical, dental, and vision insurance options
- In addition to holidays, interns receive 1 day paid time off and 3 days sick time off
- 401(k) plan to help save for your future
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership program
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About this role
Apply before
May 1st, 2021
Job posted on
November 16th, 2020
Job type
Intern
Hiring timezones
Lyft is hiring for this role in the following timezones:
Categories
Markets
About the company
Ride by ride, we’re reimagining the world’s best transportation. We envision a world where cities feel small again. Where transportation and tech bring people together, instead of apart. We see the fu...We'll keep you updated when the best new remote jobs pop up.