Software Engineer - Michelangelo ML Platform

Job Description

Software Engineer - Michelangelo ML Platform

About the role:

Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

About the Team:

We are a team within the Uber AI Platform (Michelangelo) 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. The feature store powers models at Uber for training and serving at millions of QPS with very low latencies. Our ongoing mission is to continue to scale the feature store, support advanced use cases, and MLOps infrastructure to create high quality features and labels for use in machine models in an automated way (AutoML). 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.

Be part of the team that is setting the direction of the industry via pioneering work on feature store, and feature engineering. See presentations and blogs:

• https://www.infoq.com/presentations/michelangelo-palette-uber/
• https://eng.uber.com/optimal-feature-discovery-ml/

An ideal candidate will be someone with very solid distributed computing skills, experience with building low latency microservices in a cloud environment, keen interest in data processing at scale, strong understand and passion for maching learning systems, and a willingness to research algorithms and techniques and apply them to production systems.

Minimum qualifications:

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas:
• Programming language (e.g. C, C++, Java, Scala, Python, or Go)
• 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:

Preferred:

• Strong background in Computer Science, Algorithms and Data structures, Distributed Computing, and Machine Learning.
• Experience in building distributed microservices in a cloud environment, working with large scale databases such as Cassandra, HBase, Redis or other caching systems, and ensuring that the system is able to serve data at very high levels of throughput, at low latencies.
• Experience with building very large scale data pipelines for for ML or analytics systems. Hands-on programming with Spark, Hive QL or Flink is a plus.
• Experience with Machine Learning techniques such as automatic feature selection, use of information theory, feature embeddings, model explainability, recommendation systems is a strong plus.

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.