Software Engineer, Lyft
Data Collection
CA$108-148k
More information about location
3+ days a week in office
Ride sharing company
Posted today
Ride sharing company
1001+ employees
Posted today
CA$108-148k
More information about location
3+ days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- BS/MS or equivalent degree in Computer Science, Machine Learning, or a related field
- 3+ years of proven work experience in software engineering
- Extensive experience with Python (including its data related batteries like numpy or pandas) or Golang
- Familiarity with cloud platforms such as AWS, GCP, or similar platforms, including experience with cloud infrastructure
- Excellent communication and collaboration skills with experience working in cross-functional teams
- Excellent analytical and problem-solving skills with a passion for tackling complex challenges
- Proven track record of proactively driving initiatives, taking ownership of projects, and independently identifying and implementing improvements
Desirable
- Experience with MLOps processes
- Familiarity with geospatial data processing, GIS frameworks, or mapping infrastructure
What the job involves
- To strengthen our efforts, we are hiring a Software Engineer who will work end-to-end on creating new and improving existing capabilities to capture road imagery using our Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end
- You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map
- Design, develop, deploy, monitor, operate and maintain scalable, robust, stable, reliable and performant systems to support map data pipelines that operate on large data sets
- Rapidly prototype and iterate on proof-of-concepts (POCs) and experimental features, embracing a fast-paced development cycle that values learning through experimentation, quick feedback loops, and continuous improvement
- Provide technical leadership and direction to the team by defining the team’s roadmap, architecture, processes, and best practices, with a focus on scalability and robustness in data pipeline design and implementation for large geospatial datasets
- Analyze our internal systems and processes, locate areas for improvement/automation, and build tools and dashboards to provide visibility
- Write clean, testable, and maintainable code while implementing best practices for code reviews, CI/CD pipelines, and system observability
- Help establish technical roadmaps and architectures based on technology and our business needs
- Drive high-impact projects and innovate new solutions to provide the best mapping experience possible
- Ship ML models at scale and low cost by focussing on systems / performance engineering
- Create resilient and scalable infrastructure that enables rapid iteration of new pipelines and machine learning models
Our take
Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.
Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.
In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Jun 2018
$600m
LATE VC
Mar 2018
$200m
LATE VC
Total funding: $4.9bn
Company 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
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Company HQ
China Basin, San Francisco, CA
Leadership
John Zimmer
(Co-Founder)Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.
Logan Green
(Co-Founder)Founded Zimride, a private ridesharing company which later pivoted into Lyft.
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