Staff Machine Learning Engineer
Ads Marketplace
Posted on 3/22/2024
INACTIVE
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.
Data & Analytics
AI & Machine Learning
Consumer Goods

Company Stage

N/A

Total Funding

$2.9B

Founded

2010

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

12%

1 year growth

20%

2 year growth

46%
Locations
Palo Alto, CA, USA • Seattle, WA, USA • San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
CategoriesNew
AI & Machine Learning
Applied Machine Learning
AI Research
Requirements
  • MS or PhD degree in Computer Science, Statistics or related field.
  • 7+ years of industry experience.
  • 2+ years of experience leading projects/teams.
  • Strong software engineering and mathematical skills with knowledge of statistical methods.
  • Hands-on experience with large-scale online e-commerce systems is a plus.
  • Background in computational advertising is preferred, but not required.
Responsibilities
  • Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  • Define and implement experiments to understand long term Marketplace effects.
  • Develop strategies to balance long and short term business objectives.
  • Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.