Research Engineer Intern

Uber

San Francisco, CA, US
  • Job Type: Intern
  • Function: Intern
  • Post Date: 06/15/2021
  • Website: uber.com
  • Company Address: 1455 Market Street Suite 400, San Francisco, CA, 94103

About Uber

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

Job Description

Job Description

About the Role

Uber AI Engagements collaborates with partner teams across Uber to deliver innovative machine learning solutions for core business problems. As a Research Engineer intern, you have deep validated experience in ML/AI and the passion to apply that knowledge to real-world problems at Uber. You will work closely with research scientists and engineers on a machine learning project with the aim of delivering into production systems, along the way learning the skills and technologies vital for machine learning at scale, from feature engineering, to model training and deployment, to online monitoring and experimentation.

What You’ll Do:

  • Develop innovative ML/AI solutions for challenging business problems that are fundamental for Uber
  • Partner with product teams to analyze key business problems
  • Collaborate with data science and engineering teams to integrate and validate machine learning solutions end-to-end
  • Deliver enduring value in terms of software and modeling artifacts

Basic Qualifications:

  • Actively pursuing a Masters or Ph.D. program in computer science with a specialization in ML, or in statistics, or in a related field
  • Proficiency in Python
  • Experience with ML frameworks such as PyTorch and TensorFlow

Preferred Qualifications:

  • Enrolled in a Ph.D. program
  • Expertise in deep learning, probabilistic machine learning, or statistics
  • Programming experience one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc)
  • Proficiency in SQL
  • Experience with enterprise infrastructure tools such as Spark, Hive, Kafka, Cassandra, Docker
  • Software engineering experience through previous internships, work experience, coding competitions, and/or publications
  • Ability to innovate, as shown by software artifacts or publications
  • Proven ability to communicate technical knowledge to a business audience

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.