Lyft

Software Engineer, Recommendations

Toronto, Ontario Canada
USD 108k - 149k
Machine Learning
Description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We are looking for experienced backend software engineers to join our Rider recommendations team. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As a server software engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare.

As a software engineer at Lyft, you'll collaborate with teams like product, Machine Learning, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

Responsibilities:

  • Write well-crafted, well-tested, readable, maintainable code
  • Lead large features from idea to launch
  • Write documents to communicate system design, launch, and share knowledge
  • Participate in code reviews and on-call rotations
  • Unblock, support, and communicate with internal and external partners to achieve results

Experience:

  • 3+ years of software engineering industry experience.
  • Proficient in object-oriented programming.
  • Sold knowledge of distributed systems, relational and NoSQL databases. 
  • Experienced with cloud computing platforms.
  • Led a set of components from design to launch. 
  • Ability to communicate in English in writing, meeting and presentations.
  • Experience with deploying Machine Learning models in production environments.

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.  Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $149,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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