10 Apr
Sr Software Engineer - Product Intelligence
Vacancy expired!
About the RoleJoin the Product Intelligence team, we are building an Uber-wide platform and ecosystem to handles the full life cycle of mission-critical metrics and produces machine features to our most impactful products (Eats, Marketplace, Driver, Rider, Eats) for their business intelligence tools and ML models.We are seeking top talents to scale our services between a growing suite of ML models and a number of different frontend applications serving a variety of users!What you'll do:
- Be a link between engineering and the business, enabling insight that can empower day to day decision-making.
- You'll engineer efficient, adaptable, and scalable data pipelines to process structured & unstructured data
- Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc
- Work extensively with machine learning engineers across Uber to build the next generation of feature engineering solutions.
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience
- Experience coding with C, Java, Python, or Go
- Experienced with microservice architecture SaaS. Proven background in backend engineering work and building and maintaining RESTful services.
- BS and 7+ years of relevant work experience, or MS and 5+ years of relevant work experience, or Ph.D. and 4+ years of relevant work experience
- Experience in the big data technologies (Spark, Flink, Map/Reduce, HDFS, Pig, Hive, Presto, Airflow, Luigi, Kafka, Avro, Parquet, etc.)
- Extensive experience with large-scale distributed systems, such as batch/streaming big-data processing, and machine-learning serving and training infra at scale
- Deep understanding of technical and functional designs for databases, reporting, and data mining areas as well as experience developing machine learning and decision systems
Vacancy expired!