Software Engineer - AI Platform

| San Francisco, CA
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About the role:
Collaborates with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve moderately complex problems. This role also leverages and improves ML infrastructure for model development, training, deployment needs and scaling ML systems.
About the Team:
We are a team within the Uber AI Platform that is paving the way for Data-centric ML. We pioneered the use of feature store as a fundamental building block of the ML lifecycle across the industry - which powers models at Uber for training and serving at millions of QPS with very low latencies. Our ongoing mission is to develop MLOps infra and tools to create high quality features and labels for use in machine models, with the goal of fully automating the lifecycle of feature engineering. We work closely with Data Science and ML teams across Uber to develop algorithms and tooling for sharing, discovery, computation, selection, transformation and monitoring of features and embeddings.
Minimum qualifications:
• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, WHICH INCLUDES 1-year 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• Machine learning (e.g., tree-based techniques, supervised learning)• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Note the 1-year 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 year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.
Technical skills:
Required:
• Feature management
Preferred:
• Experience with building feature embeddings from high dimensional feature sets• Demonstrated use of ML techniques in Personalization or Recommendation Systems
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 10,000 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 the 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.

More Information on Uber
Uber operates in the 3PL: Third Party Logistics industry. The company is located in San Francisco, CA, New York City, NY, Chicago, IL and Seattle, WA. Uber was founded in 2009. It has 21000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Friends outside of work, Eat lunch together, Intracompany committees and OKR operational model. To see all 79 open jobs at Uber, click here.
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