We are seeking a highly-motivated, entrepreneurial machine learning practitioner to join our Inferences team at Uber. This team focuses on sensor-derived inferences to enhance the logistical efficiency of Uber's platform. As a Senior ML Engineer, you will lead engineering initiatives to improve the experience and efficiency of millions of trips and orders daily.
Your responsibilities will include:
- Solving complex inferences and optimization problems end-to-end
- Designing and productionizing high-throughput systems for inferences and predictions
- Exploring novel ideas to improve Uber's logistical efficiency across product verticals
- Collaborating with cross-functional teams to develop holistic solutions
We're looking for candidates with:
- 5+ years of experience in machine learning or backend engineering (2+ with a PhD)
- Bachelor's degree or higher in Computer Science or related field
- Experience with large-scale data processing frameworks (Apache Spark, Hive, Presto)
- Proficiency in Java, Scala, or Golang, and scripting languages like Python
- Technical leadership experience and ability to set project direction
- Experience in productionizing applied machine learning solutions
Join us to work on cutting-edge technology that impacts millions of users daily, in a fast-paced environment where you'll have the opportunity to solve challenging problems and make a significant impact on Uber's platform efficiency.