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Lyft is a U.S.-based ridesharing company based in San Francisco, California. It was founded in 2012 by Logan Green and John Zimmer with a strong mission to improve people’s lives with the world’s best transportation. Lyft is available to approximately 95 percent of the United States population as well as select cities in Canada.
13 лютого 2023

Machine Learning Engineer, Algorithms (вакансія неактивна)

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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.

With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in multiple domains, including Mapping and Search. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people’s lives warrants modern ML utilizing petabyte-scale data. We are building an in-house search engine to help our riders and drivers find the right spots and places to efficiently get to their destinations.

If you are a critical thinker with experience in machine learning workflows, passionate about solving business problems using data, and working in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

  • Own the ML roadmap for the Computer Vision ML initiatives (Card scan, Face Auth)
  • Improve our model’s ability to read cards correctly and distinguish between real vs. fake cards.
  • Extract facial features to create a unique embedding that can be compared with another embedding. Match extracted features with ground truth embedding.
  • Check the liveness of the person and card in real-time i.e. ensure there is a real person, card behind the camera to defeat recapture/spoofing
  • Develop the methodology, thresholds and assessment criteria to measure model performance.
  • Evaluate the productionzed model performance against product & biz OKRs.

Experience:

  • 4+ years of programming experience in Python.
  • Proficiency in frameworks like Pytorch, Tensorflow, or Keras.
  • Experience with CV is desirable but not mandatory
  • Strong programming skills, familiarity with software development cycles, solid understanding of software concepts — data structures and algorithms.
  • Strong business sense and understanding of experimentation methodologies.

Benefits:

  • Health insurance, life and personal accident insurance benefits
  • Mental health benefits
  • 28 days for paid time off in addition to 12 observed holidays and additional recharge days off throughout the year
  • Family building benefits
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

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