About the Role
We are building the next generation of automated retail intelligence. Our team transforms images of store shelves into real-time signals that power smarter inventory management.
As a Software Engineer II, you will design and build the backend systems that power this transformation. You will own the pipelines and services that ingest large volumes of image data, orchestrate model inference, and convert raw predictions into reliable, actionable inventory signals.
You’ll work closely with backend engineers, Machine Learning Engineers, Data Scientists, Mobile Engineers, Product Managers, and Operations partners to build systems that are scalable, reliable, and performant in real-world retail environments.
What You Will Do
- Build Scalable Data Pipelines: Design and maintain robust pipelines that ingest, process, and transform large-scale image and metadata streams into structured inventory signals.
- Backend Service Development: Develop and operate backend services that orchestrate model inference, post-process predictions, and expose high-quality data to downstream systems and partners.
- System Reliability & Performance: Ensure high availability, low latency, and fault tolerance across distributed systems handling high-throughput image and prediction data.
- Data Modeling & Signal Quality: Design data models and processing logic that translate raw model outputs into accurate, consistent, and interpretable inventory insights.
- Cross-Functional Collaboration: Partner closely with backend engineers, Machine Learning Engineers, Data Scientists, Mobile Engineers, Product, and Operations teams to define requirements, integrate systems end-to-end, and continuously improve the quality and usability of inventory signals.
Minimum Qualifications
- Education: B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent practical experience),
- Experience: 3+ years of professional software engineering experience;
- Coding Proficiency: Strong proficiency in programming languages including C, C++, Java, Python, or Go;
Preferred Qualifications
- ML Frameworks: An understanding of PyTorch or TensorFlow, with a track record of building and training custom architectures.
- CV Fundamentals: A background in modern CV techniques (e.g., YOLO, Faster R-CNN, Vision Transformers, Siamese Networks) and image processing fundamentals.
For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
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.
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.