Staff Software Engineer, Pinterest
ML Serving Platform
$160.5-330.1k
+ Equity
More information about location
Visual bookmarking tool for saving & discovering creative ideas
Be an early applicant
Visual bookmarking tool for saving & discovering creative ideas
1001+ employees
Be an early applicant
$160.5-330.1k
+ Equity
More information about location
1001+ employees
Company mission
To bring everyone the inspiration to create a life they love.
Role
Who you are
- Comprehensive understanding of production-scale ML use cases and systems, with a focus on scalability and efficiency
- Hands-on experience in building large-scale ML systems in production environments, preferably with expertise in state-of-the-art ML inference technologies and optimizations
- In-depth knowledge of common ML frameworks and systems, including PyTorch, TensorRT, and vLLM, along with their best practices and internal mechanisms
- Familiarity in GPU programming and the common optimization techniques such as ML compilation and quantization
- Strong programming skills in Python and C++, coupled with a solid grasp of distributed systems principles
What the job involves
- The ML Platform team delivers essential tools and infrastructure utilized by hundreds of ML engineers across Pinterest, powering crucial functions such as recommendations, ads, visual search, growth/notifications, and trust and safety
- We are seeking a Staff Software Engineer to join our ML Serving team and spearhead our technical strategy on our ML inference engine
- The ML Serving team constructs large-scale online systems and tools for model inference, deployment, monitoring, and feature fetching/logging
- As ML workloads grow increasingly large, complex, and interdependent, the efficient use of ML accelerators has become critical to our success
- You’ll be part of the ML Platform team in Data Engineering, which aims to ensure healthy and fast ML in all of the 40+ ML use cases across Pinterest ranging from recommender systems, computer vision, LLM and other models
- Architect and develop large-scale, robust, and efficient ML inference engines and serving systems leveraging GPUs and other hardware accelerators
- Formulate and implement strategic roadmaps for ML inference technologies at team and company level
- Collaborate with cross-functional teams to drive innovative ML projects, applying advanced inference optimization techniques
- Engage extensively with ML engineers across Pinterest to understand their technical requirements, address pain points, and create generalized solutions
- Provide technical mentorship and guidance to junior engineers within the team
Our take
Inspiration and ideas can pop into your head at any time, and with the growth of social media and networking, sharing these interests and gaining exposure has never been easier. Pinterest exists to display these moments visually, as a kind of digital pinboard allowing users to save and share digital images which have inspired them.
Pinterest's emphasis on visual discovery has differentiated it from competitors and created a more positive and fulfilling experience for its users. Pinterest in many ways provides a respite from the ceaseless negativity that plagues social media such as Facebook and Twitter, and this is perhaps responsible for its userbase expanding to 450 million users in 2022, driven by uptake mostly outside of North America.
Pinterest has not been immune to woes affecting the global tech sector and made about 5% of its workforce redundant at the end of 2022 and the start of 2023. Having restructured to face a challenging climate, it is well-positioned to resume its growth, which has increased consistently year on year. Its immediate goals are to continue to grow its user base and expand the uptake of its short video product, which it aims to monetize.
Kirsty
Company Specialist
Insights
Company
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Ben Silbermann
(CEO)Worked as a Product Specialist at Google for 2 years before leaving to work on his own apps, which led to founding Pinterest
People progressing
Joined as Marketing Lead, promoted to Head of Growth Ops for English-speaking markets after 3 years. They've have since been promoted to Global Head of Editorial, a position they started in 2022.
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