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트렌딩 기업

트렌딩 기업

채용

채용Waymo

Software Engineer, Machine Learning Tooling

Waymo

Software Engineer, Machine Learning Tooling

Waymo

Taipei, Taiwan; Hsinchu, Taiwan

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Machine Learning

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's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.

This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Machine Learning Performance team.

You will:

  • Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance issues during other ML software development

  • Partner and empower ML engineers to optimize the performance of their model on through set of tooling and capabilities needed for rapid iteration

  • Build and sustain a database of ML model performance and other metrics. Ensure a consistent user experience for internal customers, enabling them to easily query data, debug, bisect, and track releases

You have:

  • Bachelors in Computer Science or Electrical Engineering

  • 3 years of experience in software development and with data structures/algorithms

  • 1 year of experience in data visualization tools

We prefer:

  • Experience in relational and non-relational databases, normalization, data governance, data quality

  • Experience developing accessible technologies.

  • Experience building infrastructure for models, diagnosis failures and tooling

The expected base salary range for this full-time position 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. 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**$2,600,000—$3,150,000** TWD

총 조회수

0

총 지원 클릭 수

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모의 지원자 수

0

스크랩

0

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