Principal Machine Learning Engineer - Pricing and Incentives

Key Skills

A/B Testing, Aartificial intelligence, Algorithms, Apache Hive, C Programming, C++, Data science techniques, Deep Learning, Java Programming, Keras software library, Machine learning techniques, Python Programming, PyTorch, Ray.io, Spark Core, SparkML, SQL, TensorFlow

Job Description

The role would require working with multiple teams on pricing and incentives modeling, algorithms, and building production systems. The teams deliver tremendous business impact globally and drive some of the key innovations in the company.

About the Team:

The Pricing and Incentives is responsible for tech (platforms, algorithms, data, product engineering) that drives all financial decisions for Rides and Eats including capital allocation flows, promotions, and real-time dynamic pricing for two side, and three sided Uber Marketplaces.

Minimum qualifications:

• Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 4 years full-time Software Engineering work experience
• OR 10 years full-time Software Engineering work experience, WHICH INCLUDES 4 years total technical software engineering experience in one or more of the following areas:
• Programming language (e.g. C, C++, Java, Python, or Go)

Additional/Preferred skills:

• Experience in managing dependencies in data science packages.
• Experience in high-performance computing.
• Grit, drive and a strong feeling of ownership coupled with collaboration and leadership
• Experience working across machine learning and optimization
• Knowledge/experience in A/B testing, economic modeling
• Experience in building and managing distributed systems and high-throughput services
• Systematic problem-solving approach and knowledge of algorithms, data structures, and complexity analysis.
• Experienced production user of Deep Learning frameworks such as Apache SparkML, XGBoost, Ray, Tensorflow, PyTorch, Keras, etc.

For San Francisco, CA-based roles: The base salary range for this role is $275,000 per year - $305,500 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 linkhttps://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completingthis form.

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. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.