## 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: _This team is within Uber's Machine Learning Platform (Michelangelo)_ _We are building a truly extensible machine learning ecosystem. This system provides a comprehensive tool chains to empower ML engineers to build high quality machine learning solutions in all perspectives in Uber's business._ _Our team is composed of collaborative people with deep knowledge in various domains, such as, but not limited to, distributed systems, analytical systems, large-scale backend services, large-scale computing infra, feature stores, data vis and cloud-based AI solutions._ _\[Meet Michelangelo: Uber’s Machine Learning Platform (http://eng.uber.com/michelangelo/)\]_ _Working on building the control plane and ML app framework, that supports all ML use cases in Uber._ _On this team, we:_ - _Build, test and manage the micro services._ - _Build frameworks for training and serving applications_ - _Build applications with nonSQL storages._ - _Build pipelines offline and streaming related to generative AI needs in Uber, such as but not limited to:_ - _Data Ingestion_ - _Model Fine-tune and model accuracy_ - _Prediction Evaluation_ - _Monitoring_ ## Minimum qualifications: - Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, WHICH INCLUDES 2-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 2-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 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](https://forms.gle/aDWTk9k6xtMU25Y5A). For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). 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](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.