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Waymo

Software Engineer, Marketplace Logistic

Waymo is hiring a Software Engineer, Marketplace Logistic in Mountain View, United States. It pays $175k-$215k a year and Level rates it ; you can apply on Waymo.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • The posting mentions Python, machine learning and optimization among its tools and skills.
  • Level classes it as a mid-level role.
  • Waymo has 371 other open roles on Level.

AI in this role

Build and scale ML models and optimization infrastructure for Waymo's ride-hailing marketplace and logistics.

python
machine-learningoptimizationinfrastructurepricing-models

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

 

The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays efficient, riders get fast pickups, and the AV network operates safely and profitably across cities.

 

 

You will:

  • Implement and scale the core economic engine for Waymo's ride-hailing commercial services. This collection of systems manages trip requests; matches right vehicles to riders; calculates the price of rides; positions Waymo’s vehicle for future demands.

  • Developing infrastructure for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.

  • Create experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models.
  • Partnering with product data scientists to develop and productionize pricing and matching models for Waymo

 

 

You have:

  • BS degree in Computer Science or equivalent practical experience
  • 4+ years of experience programming in backend coding languages
  • Experience in building backend distributed system

 

We prefer:

  • Experience in C++
  • MS in Computer Science, or equivalent practical experience
  • Experience in developing low latency, large-scale, user facing distributed systems
  • Experience in developing machine learning/optimization infrastructure and pipelines
  • Prior experience building and deploying ML / Optimization models into production environments
  • Experience at another Ride hailing or Marketplace company

 

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range$175,000—$215,000 USD

How we rate this

Software Engineer, Marketplace Logistic at Waymo rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningOptimizationInfrastructurePricing ModelsPython

Also common in software engineer jobs at this level

Pay

This job starts at
$175k
Typical software engineer job
$168k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where optimization was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where pricing models was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Optimization, Infrastructure, Pricing Models, 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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