Revolutionizing cars, reshaping the future
We’re working toward building the leading self-driving system for ridesharing, because we believe in a future where self-driving cars make transportation safer and more accessible for everyone. With fewer cars on the road and less pollution in the air, we can reshape cities around people, not cars.
The Road to Autonomy
We’re currently building Level 4 capabilities, with the goal of full autonomy. And we’re moving fast.
Leveraging the data from the ten million Lyft rides completed weekly
Staying focused on solving for our operating areas, not the entire world
Deploying on Lyft’s hybrid network of drivers and autonomous vehicles
Our Global Team
We are 300+ engineers, applied researchers, product managers, operations managers, and more. Our team includes some of the world’s best computer vision, robotics, and machine learning experts. They’ve developed novel 3D segmentation frameworks, are Kaggle grandmasters, designed new methods of evaluating energy efficiency in vehicles, and tracked vehicle movement using crowd-sourced maps.
Lina Dong, Engineering Manager
Lina Dong leads our Level 5 Data team. She has authored a dozen publications and joined us with ten years of industry experience working on local search, maps data, medical imaging, and video compression at companies like Google, Verily, Sony, Elekta, and Partek. She most recently worked on making Google Local Business and Maps media rich by serving relevant imagery to aid people's real world decisions.
Martin Schwoerer, Software Engineer
Martin is a software engineer on the SLAM team in Munich building high-precision 3D maps for our autonomous vehicles as well as algorithms for localizing within these maps. Martin joined Lyft after working on 3D reconstruction from satellite and aerial imagery at a startup, and graduated with a Master’s in Computer Science in 2017 from the Technical University of Munich, where he published his thesis on the movement of stereo cameras to reconstruct environments at ICCV in 2017. His method out-performed existing state-of-the-art methods in tracking accuracy and robustness.
Helen Lurie, Electrical Engineer
Helen is our Compute Team Manager and is working on specifying the vehicle’s computer architecture. She and her team are determining where to put computers within the vehicle and how they should communicate to give the Software team computational solutions that are fast and reliable. She previously worked at SpaceX, where she was responsible for engineering the Falcon-9 telemetry system and served as a launch engineer for Falcon-1 Flight 004 and Flight 005. She then joined Space Systems Loral as a telemetry engineer, while simultaneously architecting the wireless communication system for sending photographs of the earth down from low earth orbit for Planet Labs (which her roommates had started in the garage).
Emilie Danna, Software Engineer
Emilie is the Tech Lead for AV Measurement, Fleet Simulation, and Readiness and is using data and statistical rigor to ensure safety and reliability in AV deployments. In her past role as a senior staff software engineer, she transformed how Google performs capacity planning, topology design, and new architecture evaluation for the backbone networks that power all Google services (Youtube, Search, Ads, Gmail, Cloud, etc.). She also built simulation and optimization tools and introduced network SLOs to make these networks scalable, reliable, and cost-effective.
Alfred Jones, Mechanical Engineering Manager
Alfred is our Head of Mechanical Design and is responsible for the mechanical and industrial engineering that goes into the cars, as well as the design and development for integrating sensors and computers for Level 5. His team keeps our hardware looking state-of-the art while also maintaining functionality, reliability, quality, and safety. Alfred comes with over 15 years of professional engineering experience from Fitbit as their hardware team lead, Amazon Lab126 as an engineering lead, and Motorola Mobility where he spent 9 years designing cell phones and smartphones.
Ashesh Jain, Engineering Manager
Ashesh leads our Perception team, which is building systems to allow self-driving cars to understand their surroundings on the road in real time and with impeccable accuracy. Everything you can do with your eyes, he and his team are building for the car. Before Level 5, Ashesh led sensor fusion and 3D tracking for self-driving cars at Zoox. He worked on his PhD in Computer Science at both Stanford and Cornell where he published an award-winning paper on Structural-RNN, and started Brain4Cars and RoboBrain before graduating in 2016.
Lucy Hoag, Technical Program Manager
Lucy is a Technical Program Manager for our Software team where she leads autonomous test programs, helps maintain our AV fleet, and drives improvements in developer and operational velocity. She previously worked on advanced space system programs at DARPA, ranging from disposable satellites in low earth orbit to a robotic spacecraft servicer in geostationary orbit. Lucy was also Lead TPM at Google for a state-of-the-art airborne communication program. She holds a PhD in Astronautical Engineering from USC and has published papers on optimizing satellite design in SPIDR, fractionated satellites as an example of adaptable systems, and the potential impact of satlets.
Peter Ondruska, Director of Engineering
Peter is the former CEO of Blue Vision Labs that developed a visual positioning system capable of localizing a mobile phone in the city with centimeter-level accuracy. His company was acquired by Lyft in 2018, and now leads our crowd-sourcing efforts to leverage the Level 5 fleet for self-driving purposes. He did his PhD in Robotics at Oxford Robotics Institute working on self-driving cars and previously worked at Google, Facebook, and Microsoft Research developing computer vision systems. Peter loves solving big engineering challenges at the boundary of cutting-edge science by bringing excellent people together.
Arturo Corral, R&D Operations Manager
Arturo Corral leads R&D Operations at Level 5. Prior to joining Lyft, Arturo spent seven years at Waymo as a Program Manager where he transformed the very nascent team into an efficient, functional operations team. Arturo is a ten-year US Navy veteran who has a background in nuclear engineering technology and served as a submarine nuclear electrician while performing sea and shore tours across Washington state and Hawaii.
The Latest From Level 5
Employee Spotlight: Ashesh Jain
From Cornell PhD Student to Head of Perception
Feb 28, 2019 / 6min read. Read More
The Road To Level 5: Accelerating Lyft’s Self-Driving Development
By Luc Vincent, VP of Autonomous Technology
Oct 23, 2018 / 4min read. Read More
Rethinking Maps for Self-Driving
Maps are a key component to building self-driving technology, and autonomous vehicles require a new class of high-definition maps.
Oct 15, 2018 / 11min read. Read More
The Lyft Level 5 Challenge
We are thrilled to announce the Lyft Level 5 Challenge hosted by Codeforces and sponsored by Lyft. This international competition consists…
Sep 14, 2018 / 2min read. Read More
Hundreds of Computer Vision Researchers Gathered in Munich to Talk Self-Driving
In March 2018, we hosted our first event in Munich: a Computer Vision Meetup. Over two hundred computer vision researchers and engineers…
Apr 05, 2018 / 2min read. Read More
Lyft is the fastest growing on-demand transportation service in the US, with coverage in all 50 states and cities in Canada. With our network of drivers, Lyft makes car ownership optional. We are working toward our mission of improving people’s lives with the world’s best transportation. Learn more at lyft.com.
"The Level 5 team has moved with incredible velocity over the past year, and built a strong self-driving foundation. With all the talent we have added recently, and the addition of the Blue Vision Labs team and our new London office, I am conviced that our pace is only going to accelerate!"
VP of Autonomous Technology