Uber Machine Learning Tech Lead Manager - Dynamic Pricing Surge 

United States, West Virginia 

145543912

What the Candidate Will Do

• Lead teams that help build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
• Help define roadmaps and opportunities for new applications of ML systems to pricing.
• Present findings to senior leadership to inform business decisions.
• Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

• Expertise in deep learning and 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++.
• Strong communication skills and can work effectively with cross-functional partners.

Preferred Qualifications

• PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning
• Experience managing small teams of engineers.
• Experience with Causal Inference.
• 5 years of software engineering experience
• Experience with forecasting models.
• Experience working with pricing systems or marketplace work (such as ads).
• Experience growing a team and mentoring more junior engineers.

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 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 .