Uber Machine Learning Engineer - Applied AI 

United States, West Virginia 

758028629

What You'll Do

• Build and iterate on capturing semantic information of Uber entities by leveraging LLMs.
• Generate embeddings using the semantic information to help improve our understanding of places, merchants, items and users.
• Leverage this to improve ML models across Uber and to build novel personalized experiences.

Basic Qualifications

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:

• Programming language (e.g. C, C++, Java, Python, or Go)
• Large-scale training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.
• Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
• Experience with big-data architecture, ETL frameworks such as Spark, MapReduce, HDFS, Hive.

Preferred Qualifications

• 3+ years of experience in the development, training, productionization and monitoring of ML solutions at scale.
• Experience with formulating a business problem as an ML problem, identifying the right features, model structure and optimization constraints, and delivering business impact.
• Experience in modern deep learning architectures and recommender systems.
• Experience in building foundational data and embeddings that can be plugged into other application specific models.
• Experience working with multiple across team and org boundaries with engineering and product counterparts.

For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.