Jobs

Staff Technical Lead Manager, Behaviors
Mountain View, CA, USA; San Francisco, CA, USA
·
On-site
·
Full-time
·
1d ago
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 Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. As a Technical Lead, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.
In this hybrid role, you will report to an Engineering Manager.
You will
- Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new geos
- Build quantitative evaluation techniques to drive data driven development
- Work closely with partners in Mapping, Product, and the rest of the Onboard stack
You have:
- PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field
- Experience manipulating and analyzing large datasets
- Experience with working and solving design problems that cut across multiple components. High quality API design with an eye towards eval and data driven techniques.
We prefer:
- Experience in the autonomous driving domain, including areas like motion planning or perception
- Proficiency in SQL
- Proficiency in C++
- Evaluation experience, contributing to scalable eval workflows and building metrics for ML models
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 USD
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About Waymo

Waymo
Series CWaymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.
1,001-5,000
Employees
Mountain View
Headquarters
$200B
Valuation
Reviews
4.2
10 reviews
Work-life balance
2.8
Compensation
4.1
Culture
4.3
Career
3.7
Management
3.8
78%
Recommend to a friend
Pros
Supportive and collaborative team environment
Competitive salary and excellent benefits
Innovative projects and cutting-edge technology
Cons
Fast-paced environment causing stress
Work-life balance challenges
High pressure and overwhelming workload
Salary Ranges
310 data points
Mid/L4
Mid/L4 · Data Scientist
38 reports
$280,748
total per year
Base
$183,551
Stock
$74,549
Bonus
$22,649
$187,768
$434,285
Interview experience
5 interviews
Difficulty
3.6
/ 5
Duration
14-28 weeks
Offer rate
60%
Experience
Positive 40%
Neutral 60%
Negative 0%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Final Round
Common questions
Coding/Algorithm
Machine Learning
System Design
Behavioral/STAR
Technical Knowledge
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