Software Engineer, Driver Earnings
AI in this role
Build driver earnings infrastructure and experiment-driven features for rideshare platform.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft is looking for experienced, product-focused software engineers for our Driver Earnings Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers.
As a Software Engineer for Driver Earnings, you will lead multiple work streams that improve drivers' experience with rideshare. In addition, you will focus on incentivizing drivers to prefer Lyft, building differentiated pay products and features for the thing that drivers care the most about - their earnings. As an engineer on our team, you'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to increase the adoption & usage of Lyft.
Responsibilities:
- Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products.
- Design and analyze experiments; communicate results and act on launch decisions
- Work with cross-functional partners in the Driver Experience and Marketplace so earnings related data is available and usable by the various systems that need this data.
- Work on tooling that makes it easier to make changes to driver earnings related configurations.
Experience:
- Degree in Computer Science or Computer Engineering (advanced degrees preferred), or relevant work experience
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience in programming, especially in Python and/or Golang (preferred but not required)
- Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
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 with company match 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 and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging. 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 if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 $88,000 - CAD $110,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
How we rate this
Software Engineer, Driver Earnings at Lyft rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
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- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
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- List these exact terms on your resume: Software Engineering, Backend, Experimentation, Data Analysis, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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