招聘
必备技能
Kubernetes
PyTorch
TensorFlow
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
Sr. Engineering Manager, AI/ML Serving Platform
The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).
Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:
- Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
- Production GenAI & LLM model inference stack for emerging use cases.
- Model routing, deployment, monitoring. Kubernetes-based provisioning.
- Feature fetching, caching, and logging
What you’ll do
- Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
- Set technical direction for the team based on company and org priorities
- Coach and develop talent on the team.
What we’re looking for:
- Experience managing platform engineering teams with many cross-organizational customers
- Experience leading the development of large-scale distributed serving systems
- Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
- Bachelor’s degree in Computer Science, a related field or equivalent experience.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
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关于Pinterest

Pinterest is an American social media service for publishing and discovery of information in the form of digital pinboards. This includes recipes, home, style, motivation, and inspiration on the Internet using image sharing. Pinterest, Inc.
1,001-5,000
员工数
San Francisco
总部位置
$18.7B
企业估值
评价
3.2
10条评价
工作生活平衡
4.0
薪酬
2.5
企业文化
3.5
职业发展
2.0
管理层
2.0
45%
推荐给朋友
优点
Supportive and collaborative culture
Engaging and impactful work
Good people and team environment
缺点
Poor leadership and management issues
Limited career advancement opportunities
Compensation and promotion constraints
薪资范围
59个数据点
Mid/L4
Mid/L4 · Data Analyst II, Measurement Research
1份报告
$205,784
年薪总额
基本工资
$158,295
股票
-
奖金
-
$205,784
$205,784
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
新闻动态
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