채용

Product Manager, Perception ML Foundations
Mountain View, CA, USA; San Francisco, CA, USA
·
On-site
·
Full-time
·
2mo ago
보상
$204,000 - $259,000
복지 및 혜택
•Equity
•401(k)
필수 스킬
Product Management
Machine Learning
Data Pipelines
Problem-Solving
Analytics
Communication
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 Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future.
This role follows a hybrid work schedule and reports and you will report to a Director of Product Management.
You will:
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Define and champion the product vision, strategy, and roadmap for Perception ML Training workflows, focusing on data extraction, data transformation and preparation, and intelligent data mining and selection for large model training and evaluation
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Deeply understand the needs, pain points, and opportunities of Perception ML engineers and researchers, translating these insights into clear platform requirements, features, and priorities
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Lead the end-to-end product lifecycle for key platform components, from ideation and requirements definition through launch and iteration, ensuring a seamless experience for our internal users
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Drive initiatives to demonstrably accelerate ML model development velocity, improve data quality and accessibility, and ultimately enhance onboard model performance through platform innovations
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Collaborate closely with world-class Engineering, Research, and ML Platform teams to deliver impactful solutions, define and track success metrics, and ensure tight alignment with Waymo's overall goals
You have:
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A Bachelor's degree in a technical field such as Computer Science, Mathematics, or Engineering, or equivalent practical experience
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4+ years of Product Management experience, with a proven track record of defining, launching, and scaling complex technical products
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A strong understanding of machine learning workflows, data pipelines, and the common challenges faced in developing and deploying ML models at scale
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Demonstrated ability to translate complex user needs and technical details into clear product specifications and to partner effectively with engineering teams on execution
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Excellent problem-solving, analytical, communication, and interpersonal skills, with the ability to influence and align cross-functional teams and stakeholders
We prefer:
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Hands-on experience with large-scale data infrastructure (e.g. data lakes, feature stores), distributed data mining and processing frameworks, and large transformer model training workflows
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Direct product management experience with advanced data mining/sampling techniques and training dataset curation
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Familiarity with concepts in active learning, semi-supervised learning, outlier detection, or hard example mining
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Experience in the autonomous vehicles industry, robotics, or other domains with complex safety-critical real-world AI/ML applications
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**
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Waymo 소개

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
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
Senior/L5
Mid/L4 · Product Manager
46개 리포트
$302,444
총 연봉
기본급
$205,755
주식
$74,972
보너스
$21,717
$210,165
$451,693
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
뉴스 & 버즈
S.F. is obsessed with Waymo while human drivers are killing people - San Francisco Chronicle
San Francisco Chronicle
News
·
6d ago
Waymo Means Way Mo’ Cars, According To Uber Docs - Streetsblog New York City
Streetsblog New York City
News
·
1w ago
Flexdrive by Lyft begins construction on major Waymo hub in Nashville - WKRN News 2
WKRN News 2
News
·
1w ago
Waymo launches driverless ride service in Orlando - WESH
WESH
News
·
1w ago