Pinterest
Pinterest
Pinterest एक विज़ुअल डिस्कवरी प्लेटफ़ॉर्म है, जहाँ लोग प्रेरणा पाते हैं, विचारों को सहेजते हैं और उन्हें अपनी रुचियों, परियोजनाओं तथा खरीदारी के अनुसार व्यवस्थित करते हैं। इसका अनुभव घर की सजावट, फ़ैशन, रेसिपी और आयोजनों जैसे विषयों पर व्यक्तिगत सुझावों और विज़ुअल सर्च को जोड़ता है। साथ ही, कॉमर्स टूल और विज्ञापन के माध्यम से क्रिएटर्स तथा रिटेलर्स को अपने दर्शकों तक पहुँचने में मदद करता है।

Senior Machine Learning Engineer at Pinterest (California Remote)

Develop deep-learning and recommendation systems that personalize Pinterest experiences across Homefeed, Ads, Growth, Shopping, and Search. Improve retrieval and machine learning models through experimentation and large-scale data analysis.

विवरण

  • Develop deep-learning and machine-learning technologies that personalize Pinterest
  • Collaborate across Pinterest teams to test and enhance models for Homefeed, Ads, Growth, Shopping, and Search
  • Apply data-driven techniques and distinctive data characteristics to improve candidate retrieval
  • Contribute in a fast-moving environment focused on experimentation and product launches
  • Track developments in recommendation-system research and industry practice

आवश्यकताएँ

  • PhD or foreign equivalent in Computer Science, Software Engineering, or a closely related quantitative field
  • Two years of experience in the offered role, or at least one year in the offered role or a related software engineering or machine learning engineering position
  • At least one year of experience using Java to build scalable, high-performance backend services for real-time recommendation pipelines
  • At least one year of experience evaluating and improving machine learning models
  • At least one year of experience developing and optimizing large-scale recommendation algorithms
  • At least one year of experience applying Natural Language Processing to recommendation systems
  • Proficiency in Python
  • Ability to solve analytical problems with quantitative methods
  • Experience adapting standard machine learning techniques to parallel environments, including distributed clusters, multicore SMP, or GPUs
  • Knowledge of algorithms and data structures
  • Knowledge of signal processing
  • Knowledge of data mining
  • Experience collecting, transforming, or analyzing complex, high-volume, high-dimensional data from diverse sources
  • Applicants must be based in the United States

लाभ

  • Eligibility for equity compensation
  • Flexible work arrangements
  • Telecommuting and/or remote work permitted

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