Uber ML Engineer II 

United States, West Virginia 

989233930

Build end-end ML systems for designing, training, testing, optimization, deploying, and serving machine learning models. Write ML system design docs and production-level codes to train your ML models into working pipelines and serve models for large-scale online traffic.

Build ML solutions to solve business needs across the Rider organization with over 300+ engineers. Some of the types of projects you will work on for e.g:

1. Address the under-supply problem and reduce the pickup ETA
2. Improve the overall experience of the Riders at the Airport

- - - - Basic Qualifications ----

1. Engineering Degree or equivalent in Computer Science, related field
2. Experience in one or more Programming languages (e.g. C, C++, Java, Python, or Go)
3. Training using data structures and algorithms
4. Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
5. Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
6. Good problem-solving and analytical skills
7. Good team player and collaboration skills.

- - - - Preferred Qualifications ----

1. 3+ years of professional software engineering experience in industry
2. Experience deconstructing real problems, including selecting the proper data structure and developing an appropriate algorithm and pushing to production
3. Experience designing ML solutions, and implementing those solutions at scale
4. Scalable ML architecture
5. Deep Learning experience

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .