Uber
About The Role
We are looking for a highly-motivated software engineer to join our Data GenAI team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company.
What the Candidate Will Do ----
We are looking for a highly-motivated software engineer to join our Data GenAI team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company.
What the Candidate Will Do ----
- Build GenAI multiagent system to provide revolutionary tooling for thousands of internal users.
- Build predictive machine learning models for a range of applications to optimize uber's petabyte scale data processing system.
- Collaborate with a world-class data infrastructure team, provide insights via data analysis, visualization and other investigations.
- Explore novel ideas (e.g. LLM finetuning) towards improving Uber's data storage and computation efficiency.
- 6+ years of full-time engineering experience in ML/AI
- Proficiency in at least one programming language (e.g., C++, Java, Python, or Go).
- 2+ years of experience in one or more of the following areas: artificial intelligence, optimization, operational research, or related technical fields
- Familiar with data analysis techniques and backend development.
- Experience productionizing applied machine learning solutions towards solving business or product challenges
- Knowledge with internal tooling development or data/ML infrastructure
- Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto
- Experience with the recommendation system or information retrieval system is a big plus.
- Experience with LLM is not required but would be a big plus