Software Engineer Backend (Uber AI)

This role is in TripContext vertical under Uber AI Building Blocks. We create actionable insights that our partner product teams (Rider, Driver, Eats, Safety et al) use to improve customer and trip experiences. We do this by researching new models and algorithms and building platforms to serve our insights to customers at Uber scale.

• Collecting and Processing sensor data at trip scale (12 TB / day)
• Build streaming systems to process and transform sensor data for use in our ML systems
• Productionize Machine Learning models (crash detection, phone handling, harsh braking) that provide insight about Trips and Customer experiences
• Use analytics identify issues, root cause problems and validate solutions that improve our systems
• Build batch data pipelines to do offline analysis of sensor data and various ML models
• Work closely with customer teams to productionize, integrate and validate systems end to end

• Strong programming and debugging skills: Joy of coding (we mainly use Java, Scala, and Python) and 2+ years of professional industry experience
• Big Data: Experience working with data at scale, including experience with some or all of the following: Hadoop, Hive, Kafka, Flink, Spark, SQL
• Architecture chops: you should have opinions on constructing software systems and good knowledge of the principles of fault-tolerance, reliability, testing and durability. You should be able to evaluate solution tradeoffs between correctness, robustness, performance, space, and time
• Production Systems: Experience designing and deploying high performance production services with robust monitoring and logging practices
• Processing Pipelines: Ability to build and interact with very large data processing pipelines, distributed data stores, and distributed file systems

• Experience with ML infrastructure and running models in production
• Experience working with sensor or other time-series data (audiovisual, barometric, etc)
• Fast learner: We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment
• A team player: You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement