LLM Engineering Intern at Promoted.ai (W21)
$60K - $80K  •  
Marketplace Optimization
San Francisco, CA, US / Remote (US; CA)
Internship
About Promoted.ai

Promoted dramatically improves search and discovery relevance and ads quality at scale, like at our customers Upwork, Wayfair, and Outschool. We combine the best of traditional ML and streaming data infra with the latest in LLM AI to optimize the balance between relevance, revenue, and profitability. We're ex-Google, Meta, and Pinterest ads engineers, and we've built this before together.

When you join Promoted, you’ll get the benefits of:

  • San Francisco Office - Our office space is open and available
  • Healthcare Plans - We have options for you and your family
  • FSA/HSA - You can opt into these savings plans
  • Dependant Care Account - For eligible care savings
  • 401k - We offer it and match your first 6%
  • PerkSpot Account - Trusted employee discounts
  • Competitive and transparent compensation

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, mental or physical disability, gender identity or Veteran status.

About the role

Promoted.ai solves search relevance when it's the critical driver of business success: at large online marketplaces and scaled e-commerce companies. We combine the best of the last generation of ML with the latest in LLM technologies to increase revenue by 5-10% from dramatically better search, recommendations, and native ads.

We are hiring summer interns to rapidly experiment with generative AI and LLM tools. The ideal candidate is a computer science undergrad or graduate student at a top engineering school who loves to hack on new tools and techniques at scale. Ideally, you can work in our SF office, but remote in the USA is OK. We're a team of industry veterans. We've found that having a few junior people hacking on new experimental stuff can produce great insights. We will re-write your code if it works: we're looking for fast iterations and a fresh perspective. You should be highly self-motivated, responsible, and good at presenting your work.

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