Sr Scientist, Ubereats Merchant AI

Uber Uber · Consumer · Bangalore, India · Science - Data Science

Uber is seeking a Sr. Scientist for their UberEats Merchant AI team in Bangalore, India. This role focuses on developing and deploying advanced ML models to enhance the merchant experience on Uber Eats, involving research, experimentation, and collaboration with cross-functional teams.

What you'd actually do

  1. Develop and deploy state-of-the-art machine learning models to optimize the Uber Eats merchant experience.
  2. Conduct research and experimentation to identify new opportunities for AI-driven improvements.
  3. Collaborate with engineering and product teams to integrate ML solutions into the Uber Eats platform.
  4. Stay abreast of the latest advancements in AI/ML and apply them to solve real-world problems.
  5. Mentor junior scientists and engineers, fostering a culture of learning and innovation.

Skills

Required

  • PhD or MS in Computer Science, Machine Learning, or a related quantitative field.
  • Proven track record of developing and deploying ML models in a production environment.
  • Strong understanding of machine learning algorithms and techniques.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in programming languages like Python or Java.

Nice to have

  • Experience with large-scale data processing and distributed computing (e.g., Spark, Hadoop).
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
  • Experience in the e-commerce or on-demand delivery domain.
  • Publications in top-tier AI/ML conferences.

Other signals

  • Develop and deploy state-of-the-art machine learning models to optimize the Uber Eats merchant experience.
  • Conduct research and experimentation to identify new opportunities for AI-driven improvements.
  • Collaborate with engineering and product teams to integrate ML solutions into the Uber Eats platform.