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채용Waymo

Senior Machine Learning Engineer, Sensor Validation

Waymo

Senior Machine Learning Engineer, Sensor Validation

Waymo

Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA

·

On-site

·

Full-time

·

1mo ago

보상

$204,000 - $259,000

복지 및 혜택

Equity

401(k)

필수 스킬

C++

Python

Deep Learning

Machine Learning

Sensor Fusion

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.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.

Within Perception, the Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.

This role follows a hybrid work schedule and reports to a Technical Lead Manager.

You will:

  • Develop and implement state-of-the-art sensor validation algorithms for analyzing the health of our sensor suites

  • Implement onboard fault detection, isolation, and recovery solutions using cutting edge ML approaches

  • Work on sensor fusion algorithms that scale for heterogeneous sensor and multi-platform systems

  • Develop a data flywheel approach to automatically scale sensor validation approaches

  • Work with in-house hardware and perception teams on novel sensing modalities and next-generation perception solutions

You have:

  • MS in Computer Science, Robotics, Math, Physics or equivalent industry experience

  • 5+ years of experience in Machine Learning, with a strong focus on deep learning for perception tasks.

  • Deep understanding of multiple sensing modality principles to work with laser, radar, and image products

  • Strong C++ skills and ability to write high quality production level code.

  • Experience with Python

  • Experience with ML frameworks like Py Torch or JAX

  • Familiarity with machine learning techniques applied to sensor fusion, sensor calibration, or positioning problems.

We prefer:

  • PhD in Computer Science, Robotics, Math, Physics or equivalent industry experience

  • Experience developing and using tools for large-scale data analysis and visualization (e.g., SQL, Python with libraries like Num Py, Pandas, Matplotlib).

  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI

  • Experience in the autonomous vehicle (AV) or robotics industry, particularly with real-time on-device perception systems.

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**$204,000—$259,000 USD**

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Waymo 소개

Waymo

Waymo

Series C

Waymo 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

직원 수

Mountain View

본사 위치

$200B

기업 가치

리뷰

4.2

10개 리뷰

워라밸

2.8

보상

4.1

문화

4.3

커리어

3.5

경영진

3.8

78%

친구에게 추천

장점

Supportive and collaborative team environment

Innovative and cutting-edge technology projects

Competitive salary and excellent benefits

단점

Fast-paced environment can be stressful

Work-life balance challenges

High pressure and overwhelming workload

연봉 정보

310개 데이터

Mid/L4

Mid/L4 · Data Scientist

38개 리포트

$280,748

총 연봉

기본급

$183,551

주식

$74,549

보너스

$22,649

$187,768

$434,285

면접 경험

5개 면접

난이도

3.6

/ 5

소요 기간

14-28주

합격률

60%

경험

긍정 40%

보통 60%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

자주 나오는 질문

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge