Uber Sr Machine Learning Engineer Generative AI 

United States, West Virginia 

765910849

About the Role

- - - - What You Will Do ----

• Design and implement machine learning models and algorithms for customer support use cases.
• Apply advanced statistical and machine learning techniques to generate insights and improve customer support experience.
• Define success metrics and develop dashboards to monitor and visualize the performance of ML models in production.
• Work closely with cross-functional teams, including Product, Engineering, and Data Science, to translate business requirements into ML solutions.
• Mentor and provide technical guidance to junior ML engineers and data scientists.
• Stay up-to-date with the latest research and advancements in machine learning, generative AI.

- - - - Basic Qualifications ----

• Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields.
• Proven experience with designing and implementing machine learning models in production environments applied to generative AI, applications of large language models.
• Proficiency in using Python for developing ML models and handling large-scale data sets.
• Hands-on experience with building batch data pipelines.

- - - - Preferred Qualifications ----

• PhD in Computer Science with a focus on Machine Learning.
• Experience with the latest NLP and Generative AI technologies.
• 2 years of software engineering experience.

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

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