AI Semantic Data Engineer

15 hours ago

Sunnyvale, California, United States Uber Full time

About the Role

The Applied AI team at Uber collaborates with product teams across the organization to deliver cutting-edge AI solutions for core business challenges.

We work closely with engineering, product, and data science teams to understand complex business problems and leverage AI to drive innovation. Key areas of expertise include Computer Vision, ML Optimization, Geospatial AI, Personalization, and Generative AI.

The Generative AI team within Applied AI is building a semantic layer to enhance our understanding of entities relevant to the Uber platform: places, merchants, items, and users.

We partner with teams across the organization to design, develop, and productionize semantic data, features, and embeddings to meet their business needs.

What You'll Do

  • Build and iterate on capturing semantic information of Uber entities using large language models (LLMs).
  • Generate embeddings using semantic information to improve our understanding of places, merchants, items, and users.
  • Leverage this knowledge to enhance ML models across Uber and build novel personalized experiences.

Basic Qualifications

  • A PhD or equivalent in Computer Science, Engineering, Mathematics, or a related field, and 2 years of full-time software engineering experience, or 5 years of full-time software engineering experience with 3 years of specialized technical software engineering experience in areas such as:
    • Programming languages (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 that the 3 years of specialized software engineering experience may have been gained through education, full-time work experience, additional training, coursework, research, or similar combinations thereof.
  • 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 developing, training, productionizing, and monitoring ML solutions at scale.
  • Experience formulating business problems as ML problems, identifying suitable features, model structures, and optimization constraints, and delivering business impact.
  • Experience with modern deep learning architectures and recommender systems.
  • Experience building foundational data and embeddings that can be plugged into application-specific models.
  • Experience working with multiple teams and org boundaries with engineering and product counterparts.

Compensation and Benefits

The base salary range for this role is $158,000 - $175,500 per year. In addition to your base salary, you will be eligible to participate in Uber's bonus program, equity award, and other types of compensation. Please refer to the following link for more details: https://www.uber.com/careers/benefits.

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