Senior Machine Learning Engineer

Company: Uber
Location: Sunnyvale, California, United States
Type: Full-time
Posted: 04.SEP.2021
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Summary

*Minimum qualifications:* * PhD or equivalent in Computer Science, Engineering, Mathematics or related field *OR* 3-years full-time Software...

Description

*Minimum qualifications:*
* PhD or equivalent in Computer Science, Engineering, Mathematics or related field *OR* 3-years full-time Software Engineering work experience, *WHICH INCLUDES* 2-years total technical software engineering experience in one or more of the following areas:
* Programming language (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

* Note the 2-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.
*Technical skills:* Required:

* Scalable ML architecture
* Feature management

Preferred:

* Deep Learning

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let s move the world forward, together!
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing[ this form](

 
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