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Senior Machine Learning Engineer – Sensor Intelligence 243 views

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

They welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with them, and let’s move the world forward, together.

About The Role

As a Machine Learning engineer on the team, you will be working with a wide range of sensor data (location, motion, camera, etc) to develop inferences that enable some of the most important parts of Uber’s business – Fares, Matching, Safety, Pickup Experience, and more. Their systems stream more than 6 TB of data a day, producing inferences like Crash Detection and Trip State Model, which improve the Uber experience for both riders and drivers.

What You’ll Do

  • Explore massive datasets of sensor data from GPS, IMU, barometer, etc to discover opportunities to improve Uber’s product.
  • Research and develop machine learning models (crash detection, phone handling, harsh braking, trip states) that provide insight into trips and customer experiences.
  • Work with backend infrastructure engineers to architect and build the pipelines to train and serve the machine learning models at the Uber scale.
  • Work closely with PMs and engineers on partner teams to integrate and validate systems end to end.

What You’ll Need

  • Masters in CS, EE or related disciplines. Ph.D. preferred.
  • 2+ years of relevant industry / academic experience.
  • Deep knowledge of machine learning algorithms
  • Experience with ML infrastructure and running models at scale in production.
  • Strong programming skills (they mainly use Java & Python)
  • Ability to communicate complex black-box models to cross-functional stakeholders
  • Collaborative attitude and interest in working in a cross-functional team
  • Ability to learn fast and work with ambiguous problem definitions

Bonus Point if

  • You have experience working with the sensor or other time-series data (audiovisual, barometric, etc)
  • You have experience in stream processing—Storm, Spark, Flink, etc.

About The Team

Uber is deeply rooted in the physical world — their business requires a clear understanding of complicated real-world interactions and behaviors. The Sensing and Perception team seeks to understand these interactions about every trip through the use of sensors.

They create actionable insights that their partner product teams (Rider, Driver, Eats, Safety et al) use to improve customer and trip experiences. They do this by researching new models and algorithms and building platforms to serve their insights to customers at the Uber scale.

This team is responsible for collecting and processing sensor data including GPS, IMU, Barometer, and more across phones and other Driver devices. Their team owns the core location pipeline (“Blue-Dot”) at Uber that drives decisions across systems like ETA, Traffic, Routing, Safety, Fares, Matching and more.

They are part of a newly created org – UberAI – whose mission is to “to transform data into intelligence by pushing the frontiers of research, developing high-quality scalable platforms, and collaborating on innovative applications.”

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