Lead Machine Learning Engineer - Ads

1 Year ago • 4 Years +

Job Summary

Job Description

Lead Machine Learning Engineer for Ads with 4+ years experience, optimize ads performance using auto bidding and pacing, implement complex algorithms, analyze results, and drive revenue.
Must have:
  • Machine Learning
  • Ads Optimization
  • Algorithm Implementation
  • A/B Testing
Good to have:
  • Game Theory
  • Robotics
  • Control Systems
  • Bidding Strategies
Perks:
  • ESOPs
  • Childcare Allowance

Job Details

About the job

Who are we, and What do we do?

From the humble idea of giving all regional languages a stage to successfully building India's No.1 social media platform, we've journeyed to turn ideas into reality. At ShareChat and Moj, our short video platform (https://sharechat.com/about), we have over 325 million users, 80 million creators, and over 2.5 billion shares every month. Valued at $5 billion, ours is a story of disrupting the digital narrative as we build Bharat’s content creation ecosystem.

An open, honest culture and our values, such as first principles, speed, integrity, user-centricity, and ownership, drive our teams to innovate our products every day. We are on the path to establishing ShareChat as the world's largest AI-centered social media platform. We are thrilled to offer you the opportunity to solve complex problems at scale, learn with the best minds, pursue unstoppable growth, and, most importantly, make a far-reaching impact.

What does the team do?

The Ads Engineering team is responsible for driving meaningful interactions between users of Sharechat and advertisers so as to facilitate discovery and drive commerce. These interactions, if personalized properly, drives incremental business for advertisers and helps users discover services/products. We are also responsible to generate revenue for Sharechat so that we can continue delivering hyperlocal trending experiences to the users.

To ensure that this ecosystem of users, advertisers, and Sharechat is delivering value to everyone, we operate at the confluence of engineering, machine learning, personalization, behavioral economics, auction theory and mechanism design, testing our hypotheses through large scale A/B testing and making sure we can deliver while ensuring user privacy. We strive to solve large scale regression problems under extreme data sparsity (prediction models for clicks, conversion, transactions etc.), devise efficient auction mechanisms across advertisers and 3rd party revenue so that we can deliver ROI to advertisers without manual intervention, perform privacy aware learning so that we can strive for minimal user data without compromising on the value generated.

AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. Click Here to learn.

Learn from our CEO Ankush about our culture, innovation and growth. Click here

What You’ll Do?

  • Design and implement state of the art algorithms for bidding and pacing
  • Deploy the algorithms on large-scale systems and evaluate their performance using A/B tests
  • Develop and execute the overall auction / bidding strategy to maximize revenue opportunities.
  • Collaborate with product, and sales teams to identify and implement effective monetization solutions.
  • Drive the analysis of key performance metrics and provide actionable insights to optimize revenue streams.
  • Stay updated on industry trends and best practices in auction / bidding strategies.

Who are you?

  • Experience with optimizing ads performance through auto bidding and pacing or alternatively
  • Experience with implementing complex algorithms in the domain of control systems / robotics / game theory and evaluating their performance via large scale A/B tests
  • Prepared to work hands-on to implement complex control algorithms
  • Analyze the results of these algorithms and evaluate their efficacy through A/B tests
  • 4 or more years of experience with a Bachelor’s Degree, Master’s / Phd in a related field (game theory / robotics) is a plus
  • Must be results-oriented, and able to handle multiple urgent tasks and effectively deal with ambiguity
  • Experience working across multiple geographies with different markets & regions
  • Proven and consistent track record of executing and delivering/exceeding against an aggressive growth strategy

Where you’ll be?

Bangalore

Why join ShareChat?

  • We believe in creating economic opportunities for our content creators as a shared purpose. Join us to make a tangible impact for regional Indian audiences.
  • Grab an opportunity to solve complex problems powered by our AI and ML recommendation system for over 325 million monthly active users, 80 million creators and key partners.
  • Drive your career growth through our upskilling programs, accelerated by values like speed and ownership.
  • You get a chance to work with top talent across the globe in a collaborative and learning culture.
  • Experience growth in a people-first organisation with unparalleled rewards and employee-centric policies, including ESOPs, monthly childcare allowance, insurance, and more.

Know more about us:

  • AI @ ShareChat | AI Projects @ ShareChat/
  • Scaling AI to billion users
  • ShareChat Ads
  • Get to know our Co-Founder & CEO YT
  • Get to know our Co-Founder & CEO Spotify
  • Our Blog

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