Sr. Staff Software Engineer
Ads ML Infrastructure
Confirmed live in the last 24 hours
Pinterest

5,001-10,000 employees

Visual discovery engine for finding ideas
Company Overview
Pinterest stands out as a unique platform that harnesses the power of visual discovery, offering an extensive dataset of over 200 billion ideas, making it a treasure trove for those seeking inspiration in various aspects of life. The company's culture is rooted in creativity and inclusivity, fostering an environment where over 430 million global users can explore, plan, and actualize their dreams. With its unique blend of technology and creativity, Pinterest has positioned itself as a leader in the social media industry, providing a distinct and personalized user experience that sets it apart from competitors.
AI & Machine Learning
Consumer Goods
Data & Analytics

Company Stage

N/A

Total Funding

$2.9B

Founded

2010

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

10%

1 year growth

15%

2 year growth

46%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
CUDA
Pytorch
Java
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • BS (or higher) degree in Computer Science, or a related field
  • 10+ years of relevant industry experience in leading the design of large scale & production ML infra systems
  • Deep knowledge with at least one state-of-art programming language (Java, C++, Python)
  • Deep knowledge with building distributed systems or recommendation infrastructure
  • Hands-on experience with at least one modeling framework (Pytorch or Tensorflow)
  • Hands-on experience with model / hardware accelerator libraries (Cuda, Quantization)
  • Strong communicator and collaborative team player
Responsibilities
  • Being the technical leader of the Ads ML foundation evolution movement to 2x Pinterest revenue and 5x ad performance in next 3 years
  • Opportunities to use cutting edge ML technologies including GPU and LLMs to empower 100x bigger models in next 3 years
  • Tons of ambiguous problems and you will be tasked with building 0 to 1 solutions for all of them