Job Description

Join to apply for the Machine Learning Engineer, Pricing role at Uber Join to apply for the Machine Learning Engineer, Pricing role at Uber Get AI-powered advice on this job and more exclusive features. About The Role The Marketplace Intelligence team acts as the brain to enable smart pricing experiences to improve consumer price perception so as to increase long term engagement. As a Machine Learning Engineer in this role, you will be able to work on various open-ended, challenging, impactful problems. About The Role The Marketplace Intelligence team acts as the brain to enable smart pricing experiences to improve consumer price perception so as to increase long term engagement. As a Machine Learning Engineer in this role, you will be able to work on various open-ended, challenging, impactful problems. What You'll Do Innovate and productionize start-of-the-art machine learning models, and customize for Uber's use cases. Design and build the end-to-end large-scale ML systems to power the user facing marketplace experiences. Maintain existing ML models and optimize model performance Contribute to develop new models to serve production marketplace experience features and new pricing products. Collaborate with cross-functional and cross-team stakeholders. Basic Qualifications PhD in relevant fields (CS, EE, Math, Stats, etc.) OR 2 years minimum of industry experience with strong focus on user facing machine learning applications Expertise in deep learning, recommendation systems, or optimization algorithms. Experience with ML frameworks such as PyTorch and TensorFlow. Experience building and productionizing innovative end-to-end Machine Learning systems. Proficiency in one or more coding languages such as Python, Java, Go, or C++. Experience with any of the following: Spark, Hive, Kafka, Cassandra. Strong communication skills and can work effectively with cross-functional partners. Preferred Qualifications Publications at industry recognized ML conferences. Experience in simplifying/converting business problems into ML problems. Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability. PhD with specialization in machine learning, along with1-2 years industry experience in leading tech companies For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. 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 For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. 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 Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. 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