Software Engineer, Lyft
Machine Learning Platform
More information about location
3 days a week in office
Ride sharing company
Job no longer available
Ride sharing company
1001+ employees
Job no longer available
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
- B.S., M.S. or Ph.D. in Computer Science, related technical field or relevant work experience
- 3+ years of industry or research experience developing ML models or infrastructure
- Passion for building scalable and extensible solutions for machine learning development and productionisation towards short term and long term business and user impact
- Proficiency in Python, Golang, or other programming language
- Excellent communication skills and fluency in English
What the job involves
- Data and Machine Learning are at the heart of Lyft’s products and decision-making
- As a member of the Machine Learning Platform team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation network
- Machine learning infra engineers build systems that empower machine learning models to 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 platform engineer, you will be developing our central machine learning platform that powers Lyft machine learning and optimization models
- You will be working on a wide array of challenges ranging from building the large language model framework, large scale distributed model training, sub millisecond real-time predictions at scale, automating machine learning model lifecycle, implementing model monitoring, enabling reinforcement learning and many more
- You will be working in a fast paced environment, tackling a diverse set of problems. They collaborate across transportation, economics, forecasting, mapping, personalization, and adaptive control
- We are hiring engineers who can work with modelers across the company and build infrastructure to incorporate the rapid developing needs 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
- Partner with Machine Learning Engineers, Data Scientists, Software Engineers and Product Managers to develop advanced systems for business and user impact
- Evaluate when to build and when to reuse existing components including open source solutions
- Write production quality code that scales with use
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
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
Articles
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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