Senior Machine Learning Engineer

About The Role

We are looking for an experienced ML engineer to lead the design, development, and productization of machine learning (ML) solutions and systems that are used to solve strategically important business problems. You will build ML solutions to improve Uber's earner incentive products and improve marketplace balance and efficiency. You will also work closely with cross-functional partners and engineers to run ML models in production.

What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Lead efforts to drive the design, development, and productionization of ML solutions and systems that are used to solve strategically important problems.
• Partner with other engineering teams, product owners, and stakeholders to build ML solutions in production
• Explore advanced modeling architecture and framework to improve model performance.
  
  

---- Basic Qualifications ----

• PhD degree with 2 years of applied research experience or a Masters degree with 4+ years of experience of applied research experience
• 2+ years of experience in building machine learning models for business applications
• Experienced programming in Java, C++, Python or related language
  
  

---- What the Candidate Will Do ----

• Experiences in translating business and functional requirements into machine learning problems and writing high quality production code.
• Experience and expertise in large scale Applied ML (Recommender systems, Search, Ads, Content relevance etc.) and Deep Learning.
• Deep understanding of data and ML models and background in math and statistics.