Software Engineer, Machine Learning
San Francisco, CA
Lyft
Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data and Machine Learning are at the heart of Lyft’s products and decision-making. As a member of the Data Science and Machine Learning team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Machine learning engineers build algorithms that make our internal and external products responsive, personalized and powerful. We’re looking for passionate, driven engineers to take on some of the most interesting and impactful problems in ridesharing.
As a machine learning engineer, you will be developing and implementing mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, personalization, adaptive modeling, transportation, and mapping. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable machine learning systems, and are excited about working in a fast-paced, innovative and collegial environment.
You will report to a Software Engineering Machine Learning Manager.
Responsibilities:- Partner with backend and front end Engineers, Data Scientist, Product Managers, and Business Partners to frame machine learning applications, both theoretically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Develop statistical, machine learning, or optimization models
- Write production quality code to implement machine learning models at scale
- Evaluate machine learning systems against business goals
- B.S., M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
- Passion for building impactful machine learning models leveraging expertise in one or multiple fields.
- Proficiency with Python and Linux based development environments
- Strong communicator.
- Strong understanding of Machine learning methodologies and their applications.
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Tags: Computer Science Data analysis EDA Engineering Linux Machine Learning Mathematics ML models Python Research Statistics
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Startup environment Unlimited paid time off
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