Software Engineer, Machine Learning

San Francisco, CA

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Lyft

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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 systems that make our products predictive, personalized, and adaptive. 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 launching the algorithms that power the platform’s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, personalization, and adaptive control. 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 ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.

Responsibilities:
  • Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
  • Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
  • Develop statistical, machine learning, or optimization models
  • Write production quality code to launch machine learning models at scale
  • Evaluate machine learning systems against business goal
 Experience:
  • B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
  • 4+ years of Machine Learning experience
  • Passion for building impactful machine learning models leveraging expertise in one or multiple fields.
  • Proficiency in Python, Golang, or other programming language
  • Excellent communication skills and fluency in English
  • Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits
Benefits:
  • 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. 

Until further notice, Lyft employees working in the United States and Canada in any capacity (on a daily or hybrid schedule, remote, or as a visitor) are required to provide proof that they are fully vaccinated and up to date against COVID-19. Fully vaccinated and up to date means an employee has: 1) received all recommended doses in a primary series of COVID-19 vaccine; and 2) either has received a booster dose or is not yet eligible to receive a booster dose but will do so when eligible. Lyft will maintain records associated with your vaccination history in a way that is compliant with all relevant Federal, state and local laws. Exceptions to this requirement are employees who require religious or medical exemption as approved through Lyft's accommodations process. New employees must provide proof of full vaccination or receive an accommodation exception approval prior to their start date.

This role is work-from-anywhere, excluding the following states and all U.S. territories: Kansas, Mississippi, Oklahoma, West Virginia, Puerto Rico.

Tags: Computer Science Data analysis Economics Golang Machine Learning ML models Python Statistics

Perks/benefits: Career development Health care Insurance Medical leave Parental leave Startup environment Unlimited paid time off

Region: North America
Country: United States
Job stats:  29  6  0

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