Uber Staff ML Engineer 

United States, West Virginia 

466172018

About the Role

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

• Identify and pitch the right problems that will benefit from ML expertise.
• Lead the design and development of a suite of ML models that will help solve the above problems.
• Collaborate with backend and frontend engineers to integrate your solutions in our products & platforms.
• Work with cross functional counterparts like ML Ops team to understand their needs and improve the models accordingly.
• Write clean, modular, and maintainable code.
• Conduct code reviews and ensure high code quality standards for your team.
• Keep up to date with the latest ML technologies and best practices.

- - - - Basic Qualifications ----

• Engineering Degree or equivalent in Computer Science, related field
• Experience in one or more Programming languages (e.g. C, C++, Java, Python, or Go)
• Training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Good problem-solving and analytical skills
• Good team player, collaboration and leadership skills.

- - - - Preferred Qualifications ----

• 10+ years of professional software engineering experience in the industry
• Experience deconstructing real problems, including selecting the proper data structure and developing an appropriate algorithm and pushing to production
• Experience designing ML solutions, and implementing those solutions at scale
• Scalable ML architecture
• Deep Learning experience
• Experience collaborating with backend & frontend engineers to take your solutions to production

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .