Salary- $150K/Yr - $180K/Yr
New York
Posted 2 weeks ago

What the Candidate Will Need / Bonus Points – What the Candidate Will Do –

  • Design and implement machine learning models and algorithms to optimize ad recommendations and auction mechanisms.
  • Apply advanced statistical and machine learning techniques to generate insights and improve the effectiveness of ad targeting and delivery.
  • Monitor and ensure the reliability of ML Predictions at large scale.
  • Stay up-to-date with the latest research and advancements in machine learning, recommendation systems, and ad auction techniques.

– Basic Qualifications –

  • Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields.
  • Proven experience with designing and implementing machine learning models in production environments applied to recommendation systems.
  • Proficiency in using Python for developing ML models and handling large-scale data sets.
  • Hands-on experience with building batch data pipelines using technologies like Spark or other map-reduce frameworks.

– Preferred Qualifications –

    • 2 years of industry experience as an ML engineer or equivalent.
    • Experience with enabling production-scale and debugging large ML models.
    • Experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
    • Advanced degree (Ph.D. or M.S.) in Data Science, ML, or related disciplines.

For New York, NY-based roles: The base salary range for this role is USD$158,000 per year – USD$175,500 per year. 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 Seattle, WA-based roles: The base salary range for this role is USD$158,000 per year – USD$175,500 per year. For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Job Features

Job Category

Data Science, DevOps

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