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Staff Machine Learning Engineer, Growth Engineering

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Pinterest

21d ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • $174.2K - $304.5K
  • San Francisco, +1
    Remote

AI generated summary

  • You need MS/PhD in relevant field, 5+ years ML industry experience, hands-on model dev, collaborative skills, and familiarity with Generative AI/LLM.
  • You will lead ML-based product solutions for Pinterest's SEO channel, work with cross-functional teams, leverage latest innovations, drive growth, lead product development process, mentor junior engineers.

Requirements

  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related fields
  • 5+ years of industry experience in machine learning in industry and 1+ years of TL in use cases with large scale: content/user understanding, recommendation systems, information retrieval, or search.
  • Hands-on experience working with large scale ML modeling development and productization.
  • Effective collaborator working with cross functional partners and an excellent communicator.
  • Experience with Generative AI and LLM are a plus.

Responsibilities

  • Own the vision and strategy of ML-based product solutions for Pinterest’s largest user acquisition channel: SEO. Work closely with design, product, and backend teams to find the gap in current ML practices and propose technical solutions to tackle engineering problems.
  • Work side-by-side with backend/fullstack product engineers, data scientists, and a sister frontend user experience team to drive growth via SEO traffic for Pinterest.
  • Leverage LLM/GenAI and other latest innovations to transform the content corpus we surface to search engine and help the team grow the scope of impact.
  • Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that leverage large-scale data.
  • Grow as an engineer by working with world-class peers on varied and high-impact projects.
  • Mentor and guide more junior engineers, providing technical leadership and expertise.

FAQs

What is the primary focus of the Growth Engineering team at Pinterest?

The primary focus of the Growth Engineering team at Pinterest is to build SEO products and a logged out platform to drive user growth through search traffic and new sign ups. This team is responsible for leveraging technology to enhance user experiences and drive Pinterest's growth strategy.

What technologies are currently being used by the Growth Engineering team at Pinterest?

The Growth Engineering team at Pinterest is currently using GenAI to enhance the content surfaced in search engines. This technology enables the team to move beyond traditional templates and create more compelling experiences for users. Additionally, the team works closely with product managers, designers, and backend engineers to incorporate the latest technologies and improve user acquisition.

What opportunities are available for a Staff Machine Learning Engineer in the Growth Engineering team?

As a Staff Machine Learning Engineer in the Growth Engineering team at Pinterest, you will have the opportunity to work autonomously and find creative solutions to challenging problems. You will also be able to drive new initiatives from inception to implementation, taking ownership of projects and contributing to Pinterest's user growth strategy. This role offers the chance to make a significant impact on the company's growth and influence its user acquisition efforts.

Bring everyone the inspiration to create a life they love.

Technology
Industry
1001-5000
Employees
2010
Founded Year

Mission & Purpose

Pinterest's mission is to bring everyone the inspiration to create a life they love. It’s the biggest dataset of ideas ever assembled, with over 200 billion recipes, home hacks, style inspiration and other ideas to try. More than 430 million people around the world use Pinterest to dream about, plan and prepare for things they want to do in life.