13 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Design and implement real-time on-device machine learning systems for camera and sensor inputs.
- Optimize machine learning models for NPU, GPU, and DSP execution through quantization, hardware-aware architecture design, and custom kernel development.
- Own machine learning models end-to-end from research prototype through deployment and long-term maintenance on hundreds of millions of devices.
- Build training pipelines in JAX and TensorFlow and integrate models into camera pipelines using C++.
- Partner with product, UX, software, hardware, Tensor silicon, and compiler teams to define and deliver device-constrained interactive features.
- Establish machine learning development, deployment, evaluation, and quality-measurement practices and contribute to the technology roadmap.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software design and architecture.
- Experience with C, C++, machine learning, embedded systems, machine learning algorithms, machine learning architecture, and machine learning research.
- Preferred: Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: experience taking machine learning models from research prototype to production on mobile or embedded devices and owning them after launch.
- Preferred: experience optimizing models for on-device accelerators through quantization, hardware-aware architecture design, or custom kernels.
- Preferred: experience building and training models in JAX and TensorFlow.
Benefits
- The posting lists equity and benefits in addition to a bonus target.
- Google provides benefits information through its benefits program.
Tech Stack
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.