Chief Machine Learning Engineer for Ads Monetization

7 days ago

Bengaluru, Karnataka, India Swiggy Full time
About Swiggy

Swiggy is a leading on-demand delivery platform with a strong presence in India. Our tech-first approach to logistics and solution-first approach to consumer demands enable us to deliver unparalleled convenience driven by continuous innovation.

We process terabytes of data every day, fueled by robust ML technology, to offer a fast, seamless, and reliable delivery experience for millions of customers across India.

Data Science at Swiggy

Data science and applied machine learning play a crucial role in decision making and product development at Swiggy. Our team of data scientists works closely with cross-functional teams to ship end-to-end data products, from formulating business problems in mathematical/ML terms to iterating on ML/DL methods and taking them to production.

We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We encourage open sharing of ideas and publishing in internal and external avenues.

Ads Monetization Team

The Ads Monetization Team is responsible for building and optimizing machine learning solutions for the full lifecycle of ads across both Food and Instamart Business lines. This includes sourcing the right set of ads, pricing them, targeting them via personalized and multi-objective-optimized user-response models, and delivering pragmatic and scalable solutions.

This team is maniacally focused on delivering high-quality solutions that meet the demanding requirements of our business.

Job Description

You will leverage your strong machine learning background to build new and next-generation ML-based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve campaign performance.

  • You will mine and extract relevant information from Swiggy's massive historical data to help ideate and identify solutions to business and CX problems.
  • You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
  • You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems-related areas, and help adapt it to Swiggy's problem statements.
  • You will publish and talk about your work in internal and external forums to both technical and layman audiences.
Qualifications
  • Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
  • Excellent problem-solving skills, ability to deconstruct and formulate solutions from first-principles
  • Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
  • Strong proficiency in Python, SQL, Spark, Tensorflow
  • Strong spoken and written communication skills
  • Experience in ecommerce and logistics a plus

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by law.

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