채용
Want to help build the next generation of training and evaluation datasets for Frontier models? Join us! We are looking for a talented Software Development manager to help us develop build the software and systems to achieve our vision to "Be best-in-class at acquiring, creating and ground-truthing all kinds of data, with the highest standards of privacy and security, to power the best AI models and applications on Earth.”
What will you do? You will lead a multidisciplinary team to develop solutions across multiple programs working with scientist customers collect, clean, and evaluate data used for AI model training. This includes Reinforcement Learning Gyms to evaluate AI Agents in workflows of users. You will lead the development process and have end-to-end ownership of distributed backend systems as well as front-end tools for human-in-the loop data collection.
- Key job responsibilities
- Hire and develop the best. You will help grow and develop a team of engineers, growing their careers and empowering them to achieve amazing things.
- Set a vision for your team and create product roadmaps. Help your team identify technical and product requirements and opportunities. Use project management and prioritization skills to balance long and short-term goals and deliver on your product roadmap.
- Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve and scale our service architecture.
- Drive continual improvements: Set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently.
A day in the life
A mix of helping the team design systems for building and managing training data, working with the team to deep dive into data quality issues, working with stakeholders to understand their requirements, improving efficiency in our software development processes, career coaching and mentorship, communicating status updates to leadership about progress and challenges, and collaborating with sister teams.
About the team
AGI Data Services (AGI-DS) is part of the Artificial General Intelligence (AGI) organization that builds services for storing, accessing, and manually labeling data for training foundational and specialized AI models with world-class privacy and security for our end customers
Basic Qualifications
- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
뉴스 & 버즈
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