Overview
On Site
USD 198,000.00 - 220,000.00 per year
Full Time
Skills
Data Processing
Computer Networking
Big Data
Art
Systems Architecture
Management
IT Management
Machine Learning (ML)
Batch Processing
Collaboration
Security Engineering
Artificial Intelligence
Software Engineering
Computer Science
Computer Engineering
Python
Linux
Cloud Computing
Storage
Job Details
About the Role
You will be a Senior Software Engineer in the Machine Learning Platform team and involved in the development and implementation of the infrastructure layer for multi-modal data processing and ML. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You'll be able to collaborate across Platform Engineering teams which include areas such as networking, storage, compute, big data and cloud engineering.
What the Candidate Will Need / Bonus Points
Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
1. Systems architecture design, including management of upstream and downstream dependencies
2. Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead
3. Build batch processing pipelines, search infrastructures for large volumes of multi-modal data
4. Participate in periodic on-call rotations and be available for critical issues
5. Collaborate with platform, product and security engineering teams, and enable successful use of the latest AI techniques.
\\-\\-\\-\\- Basic Qualifications ----
1. 5 years of working experience in the software engineering industry
2. Bachelor degree in computer science, computer engineering or related fields
3. Proficient in Python and Linux
4. Proficient in batch cloud computing and storage technologies
\\-\\-\\-\\- Preferred Qualifications ----
1. Master or PhD degree in computer science, computer engineering or related fields
2. Proficient in Ray or Spark.
3. Experience in Data/AI/ML platform.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity 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](;br>
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.
You will be a Senior Software Engineer in the Machine Learning Platform team and involved in the development and implementation of the infrastructure layer for multi-modal data processing and ML. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You'll be able to collaborate across Platform Engineering teams which include areas such as networking, storage, compute, big data and cloud engineering.
What the Candidate Will Need / Bonus Points
Design and deliver software and tools as part of our state-of-the-art Machine Learning platform
1. Systems architecture design, including management of upstream and downstream dependencies
2. Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead
3. Build batch processing pipelines, search infrastructures for large volumes of multi-modal data
4. Participate in periodic on-call rotations and be available for critical issues
5. Collaborate with platform, product and security engineering teams, and enable successful use of the latest AI techniques.
\\-\\-\\-\\- Basic Qualifications ----
1. 5 years of working experience in the software engineering industry
2. Bachelor degree in computer science, computer engineering or related fields
3. Proficient in Python and Linux
4. Proficient in batch cloud computing and storage technologies
\\-\\-\\-\\- Preferred Qualifications ----
1. Master or PhD degree in computer science, computer engineering or related fields
2. Proficient in Ray or Spark.
3. Experience in Data/AI/ML platform.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity 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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.