Base Salary
$202k - $224k/yr
Responsibilities
- Develop and train computer vision and multimodal models, including vision-language models, for document transcription and understanding.
- Design scalable on-device and server-side vision systems that balance latency, accuracy, privacy, and cost.
- Collaborate with ML Infrastructure and product teams on data requirements, labeling strategies, evaluation metrics, and integration pathways.
- Own the model and system lifecycle from experimentation and development through production deployment, monitoring, and scaling.
- Build evaluation frameworks for transcription accuracy, document understanding, and model robustness across geographies and document formats.
- Optimize models through compression, quantization, pruning, and hardware-aware techniques for mobile or edge deployment.
- Analyze production data and failure cases to improve model quality, generalization, and system reliability.
Requirements
- At least 5 years of hands-on machine learning experience with a strong focus on computer vision or multimodal systems.
- Strong foundation in deep learning, including neural network training, evaluation, and debugging.
- Proficiency in Python and modern machine learning frameworks such as PyTorch, JAX, or TensorFlow Lite.
- Experience deploying machine learning models into production systems and working with real-world datasets.
- Strong problem-solving skills and ability to collaborate cross-functionally in product-driven environments.
- Preferred experience includes training and optimizing large-scale vision or multimodal models, including vision-language or foundation models.
- Preferred knowledge of object detection, segmentation, OCR, document layout understanding, and point cloud processing.
- Preferred experience with edge or mobile deployment, model optimization, large-scale document or visual datasets, distributed training, and scalable ML infrastructure.
Benefits
- Base salary range is USD $202,000-$224,000 per year for roles based in San Francisco, Seattle, or Sunnyvale.
- Eligibility for Uber’s bonus program and potential equity awards and other compensation.
- 401(k) plan eligibility for all full-time employees.
- Eligibility for various benefits.
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.