Marketplace Platform, TLM
Waymo is hiring a Marketplace Platform, TLM in Mountain View, United States. It pays $251k-$310k a year and Level rates it ; you can apply on Waymo.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include fine tuning and AI evaluation.
- Level classifies it as a senior role.
- Level lists 371 other open roles at Waymo.
AI in this role
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.
Our team functions as the core intelligence for the Waymo platform, designing and implementing the sophisticated algorithms for rider vehicle matching, dynamic pricing, efficient routing, and predictive supply demand balancing. Their work ensures riders are connected with the optimal Waymo vehicle efficiently, safely, and with minimized wait times.
You will:
- Lead a growing team of 5-6 junior and senior engineers to implement and scale Waymo’s Marketplace Platform and Infrastructure
- Developing ML infrastructure for automatically training and deploying sophisticated optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.
- Developing experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models.
- Developing simulation infrastructure for all marketplace optimization and ML model development and evaluation
You have:
- BS degree in Computer Science or equivalent practical experience
- 6+ years of experience programming in backend coding languages
- 2+ years of people management experience
- Technical leader experience
- 3+ years of experience building productionized ML models
We prefer:
- Experience in C++
- MS in Computer Science, or equivalent practical experience
- 5+ years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Prior experience building and deploying various ML models such as reinforcement learning
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$251,000—$310,000 USDHow we rate this
Marketplace Platform, TLM at Waymo rates 90 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.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you decide that one model's output is better than another's for a given task?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Fine-tuning and AI Evaluation. 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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