Jobs · Engineering · California

Machine Learning Engineer II

SuprAIJobs · San Francisco, CA · 2 days ago
Engineering$158k/yrFull-time

About the role

The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We focus on building a deep understanding of both user and merchant behavior to generate accurate ML signals that enhance the Ads auction system. Our goal is to maximize the benefits for both users and merchants within Uber's Ads distribution system. You will directly impact Uber's Ads systems by defining and executing the Ads ML roadmap, with a focus on enabling and accelerating large-scale improvements to our recommendation systems. Developing relevant, robust, and observable ad recommendations is crucial to Uber’s fast growing Ads Business strategy, making this a highly impactful role.

Responsibilities

  • Define and execute the Ads ML roadmap
  • Enable and accelerate large-scale improvements to recommendation systems
  • Build models that provide relevant, robust, and observable ad recommendations
  • Collaborate with cross-functional teams to improve the Ads auction system

Requirements

  • PhD or MS in Computer Science, Statistics, Mathematics, or related field
  • Experience with machine learning algorithms and techniques
  • Strong programming skills in Python or R
  • Experience with large-scale data processing and distributed systems
  • Excellent problem-solving and analytical skills
  • Ability to work independently and in a team environment

Qualifications

  • Experience with deep learning frameworks like TensorFlow or PyTorch
  • Knowledge of recommender systems and their implementation
  • Experience with natural language processing (NLP) and/or computer vision (CV)
  • Understanding of fairness and bias in machine learning

Skills

  • Python
  • R
  • TensorFlow
  • Pandas
  • Numpy
  • Scikit-learn
  • PyTorch
  • Recommender systems
  • Deep learning
  • Natural Language Processing (NLP)
  • Computer Vision (CV)

Benefits

  • Eligible for Uber's bonus program
  • May be offered an equity award & other types of compensation
  • Various benefits available

Pay

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.

Schedule

For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.

Application

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