Uber Senior Machine Learning Engineer 

United States, West Virginia 

754350386

About the Role

To support and facilitate this work, we have also developed our in-house ML and optimization infrastructure, including data ETL, feature store, dev & viz tooling, model training, serving, storage and backtest solutions. We extensively use the latest technologies and libraries, such as HDFS, Spark, Ray, PyTorch, Horovod, Modin, etc, in our systems.

- - - - What the Candidate Will Do ----

• Design and build Machine Learning models with optimization engines.
• Productionize and deploy these models for real-world application.
• Review code and designs of teammates, providing constructive feedback.
• Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

- - - - Basic Qualifications ----

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
• 2+ years of ML experience and building ML models
• Experience working with multiple multi-functional teams(product, science, product ops etc).
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
• Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc.
• Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc.
• Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.

- - - - Preferred Qualifications ----

• Experience with the design and architecture of ML systems and workflows.
• Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
• Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
• Experience with optimizing Spark queries for better CPU and memory efficiency.
• Experience owning and delivering a technically challenging, multi-quarter project end to end.

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.