Full-Time

Staff Machine Learning Engineer

Confirmed live in the last 24 hours

Waymo

Waymo

1,001-5,000 employees

Develops self-driving technology for vehicles

Compensation Overview

$238k - $302k/yr

+ Bonus + Equity Incentive Plan

Senior

Company Historically Provides H1B Sponsorship

Mountain View, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Machine Learning
C/C++
Reinforcement Learning
Requirements
  • B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
  • Strong coding experience in C++ and/or Python.
  • Experience in at least one of: Foundational Models, VLM, Deep Learning
  • 5+ years of experience with hands-on experience in machine learning projects
  • Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale
Responsibilities
  • Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows
  • Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection
  • Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system.
  • Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback
  • Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
  • Drive technical direction, and provide technical inputs and guidance to the team.
  • Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.
  • Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.
Desired Qualifications
  • M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.
  • Deep learning experience with Transformers
  • Gen AI LLM/VLM experience
  • Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
  • Large-scale data processing and analytical skills.

Waymo develops self-driving technology for vehicles, known as the "Waymo Driver," which allows cars to navigate roads without human input. This system combines hardware, software, and computing power to ensure safe and efficient driving. Waymo collaborates with major automakers, like Volvo, to integrate its technology into their vehicles, enhancing safety and convenience. Additionally, it serves the logistics sector through Waymo Via, which focuses on autonomous goods delivery. Waymo generates revenue through partnerships with car manufacturers, licensing its technology, and offering ride-hailing services. The company aims to lead the autonomous vehicle industry by continuously improving its technology and expanding its applications.

Company Size

1,001-5,000

Company Stage

Series C

Total Funding

$11.1B

Headquarters

Mountain View, California

Founded

2009

Simplify Jobs

Simplify's Take

What believers are saying

  • Waymo's partnership with Toyota opens new revenue streams in the personal vehicle market.
  • Expansion of robotaxi production in Arizona by 2026 meets increasing demand for autonomous rides.
  • Investment in a new factory in Metro Phoenix supports U.S. ridership growth.

What critics are saying

  • Recent recall of 1,212 vehicles due to software issues may undermine consumer trust.
  • NHTSA investigation into driving behaviors could lead to regulatory challenges.
  • Expansion to cities like Atlanta and Miami may face logistical and regulatory hurdles.

What makes Waymo unique

  • Waymo achieved the first fully self-driving trip on public roads in 2015.
  • Waymo's technology integrates hardware, software, and computing power for safe navigation.
  • Waymo partners with major automakers like Volvo to enhance vehicle safety and convenience.

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Benefits

401(k) Company Match

Performance Bonus

Company Equity

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-3%
Tech in Asia
May 15th, 2025
Waymo Recalls 1,212 Self-Driving Cars Over Software Issue

👩‍🍳 How we use AI at Tech in Asia, thoughtfully and responsibly.🧔‍♂️ A friendly human may check it before it goes live. More news hereWaymo, a subsidiary of Alphabet, has announced a recall of 1,212 self-driving vehicles in the US to address software issues linked to collisions with chains, gates, and other roadway barriers.This follows a US auto safety investigation initiated last year.The recall affects vehicles using Waymo’s fifth-generation automated driving system, with 16 reported incidents from 2022 to 2024, and all without injuries.The National Highway Traffic Safety Administration (NHTSA) began investigating Waymo’s vehicles in May 2024 due to robotaxis showing driving behaviors potentially violating traffic laws.The company operates over 1,500 vehicles across several cities and provides more than 250,000 fully autonomous rides weekly, with plans to expand to Atlanta, Miami, and Washington, D.C.🔗 Source: Reuters🧠 Food for thought1️⃣ How recalls signal market maturation in autonomous drivingWaymo’s software recall reflects the maturing autonomous vehicle industry’s evolution toward standardized safety practices.The company’s approach demonstrates how autonomous vehicle safety differs from traditional recalls, resolving issues through software updates rather than physical service visits, similar to Tesla’s over-the-air update model 1.This recall comes after nearly 15 years of development since Google’s secretive “Project Chauffeur” began in 2009, showing how the industry has transitioned from experimental technology to regulated commercial service 2.Importantly, the regulatory framework for autonomous vehicles is still evolving, with the NHTSA having received reports of 3,979 autonomous vehicle incidents between 2021-2024, establishing precedents for how safety issues should be handled 1.The fact that Waymo proactively identified and addressed these safety concerns through the established recall process demonstrates a shift toward formal compliance with traditional auto industry regulations, rather than the “move fast and break things” approach once common in tech.2️⃣ Self-driving safety emerges as a data-driven disciplineWaymo’s ability to identify specific collision patterns with roadway barriers stems from its massive data collection infrastructure, which logs every mile driven and simulates millions more.The company’s simulator technology replicates over 3 million miles of driving experiences daily, allowing engineers to test software fixes against historical scenarios before deployment 3.This testing methodology represents a fundamental shift in vehicle safety development: while traditional automakers test prototypes for thousands of physical miles, Waymo leverages Google’s data centers to create a virtual safety testing environment of unprecedented scale 3.California DMV data shows 813 autonomous vehicle collision reports filed as of May 2025, creating a growing body of evidence about common failure modes and safety challenges that companies must address 4.The industry is gradually developing safety benchmarks against which to evaluate autonomous performance, though questions remain about whether these systems will ultimately surpass human drivers in all scenarios. Human error currently accounts for 94% of traffic fatalities according to NHTSA 5.3️⃣ Autonomous vehicle deployment follows the “crawl-walk-run” principleDespite operating 250,000 paid rides weekly and planning expansion to new cities, Waymo’s persistent issues with basic roadway obstacles reveal the incremental nature of autonomous technology deployment.The company began with tightly controlled testing environments, like the decommissioned Air Force base mentioned by Waymo employee Stephanie Villegas, before gradually expanding to public roads with increasingly complex scenarios 2.This pattern mirrors the broader autonomous vehicle industry’s approach, starting with geofenced areas in optimal conditions before tackling more challenging environments, recognizing that even after millions of test miles, edge cases continue to emerge 5.The Jackson family’s experience as early Waymo riders in Chandler, Arizona demonstrates this cautious approach, with the company first establishing service in a controlled suburban environment with favorable weather and road conditions before expanding to more complex urban settings 6.This gradual deployment strategy contrasts with earlier industry optimism, when figures like Lawrence Burns (who joined Google’s self-driving project in 2010) were surprised by major automakers’ belief that autonomous vehicles were decades away from commercialization 7.Recent Waymo developments

Interesting Engineering
May 14th, 2025
Waymo recalls 1,200 robotaxis after cars crash into chains, gates and utility poles

Alphabet-owned Waymo has issued a recall for 1,212 self-driving vehicles after discovering a software flaw that made its robotaxis prone to crashing into chains, gates, and similar barriers.

Business Facilities
May 6th, 2025
Waymo Driving To Washington, DC In 2026, Will Build Vehicles In Arizona

To support its growing U.S. ridership, Waymo is investing in its U.S.manufacturing operation with a new autonomous vehicle factory in Metro Phoenix with its partners at Magna.

ByteFunding
May 5th, 2025
Waymo plans to double #robotaxi production at Arizona plant by end of 2026

Waymo plans to double #robotaxi production at Arizona plant by end of 2026.

Forbes
May 5th, 2025
Inside The Waymo Factory Building A Robotaxi Future

An exclusive look inside the facility turning Jaguar EVs into robotaxis with the AI-driven fleet’s custom computing system, cameras, lidar and radar. Soon, tens of thousands of robotaxis will be rolling off the line annually.Step outside the main terminal at Phoenix’s Sky Harbor airport to the rideshare zone on a hot spring day and you’ll catch a glimpse of a fast-approaching future: driverless Waymo robotaxis queueing alongside human-driven Ubers and Lyfts to take waiting passengers to their next destination. The service just launched in Austin and continues to expand in San Francisco, Los Angeles and Silicon Valley, but Phoenix has been its home turf for years, kicking off paid public rides there in 2020. And now, the region that helped perfect the AI-enabled tech has quietly become Waymo’s robotaxi production hub.About 20 minutes east of Phoenix’s airport in Mesa, Arizona, is a 239,000-square-foot factory that opened in October. Every day, it churns out several battery-powered, white Jaguar I-PACE electric SUVs loaded up with the company’s custom-designed computer, cameras, radar and laser lidar sensors on a single production line. But the plan is to dramatically scale up the pace and automate output to keep up with growth plans, said Kent Liu, Waymo’s head of vehicle manufacturing, who previously managed production operations for Apple and General Motors