Uber Senior ML Engineer - Dynamic Pricing 

United States, West Virginia 

69756822

About the Role

You will build ML models, conduct experiments, define monitoring metrics, and ensure good operational excellence at scale. You will help improve existing models through novel architectures and features in addition to identifying new applications and opportunities for Machine Learning.

- - - - Basic Qualifications ----

1. PhD or Masters in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning.
2. 3+ years of experience in an ML role with an emphasis on data and experiment driven model development.
3. Expertise in deep learning and optimization algorithms.
4. Experience with ML frameworks such as PyTorch and TensorFlow.
5. Experience building and productionizing innovative end-to-end Machine Learning systems.
6. Proficiency in one or more coding languages such as Python, Java, Go, or C++.
7. Good communication skills and ability to work effectively with cross-functional partners.
8. Good sense of ownership and tenacity toward hard machine-learning projects.

- - - - Preferred Qualifications ----

1. Experience in serving and monitoring online training systems such as real time recommendation systems.
2. Experience designing and implementing novel metrics for performance evaluation.
3. Experience handling time series data and time series forecasting (experience handling spatial temporal data is plus).
4. Deep understanding of models such as VAE (Variational Auto Encoder), SSM (State space model), and Normalizing Flow.
5. Experience in inference optimization and monitoring model performance efficiency and being able to identify bottlenecks.
6. Proven track record in conducting experiments and tracking models in high-complexity environments.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 .