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 .