Google

Machine Learning Staff Software Engineer, Pixel Camera

Google • $207K — $300K *
Mountain View, CA 94040In-Person
Consumer Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software design and architecture.
  • Experience with C, C++, machine learning, and embedded systems.
  • Experience with machine learning algorithms.
  • Experience with machine learning architecture.,

Responsibilities

  • Design and implement real-time on-device machine learning foundations from camera and sensor input.
  • Drive optimization of models for NPU, GPU, and DSP execution in collaboration with silicon and compiler teams.
  • Own end-to-end models from prototype through deployment on numerous devices, incl. training in JAX/TensorFlow and C integration.
  • Collaborate with product, UX, software, and hardware teams to define requirements for interactive features and execution within device constraints.
  • Establish best practices for machine learning development and evaluation, contributing to the technology roadmap.

Benefits

  • Flexible work arrangements including the possibility of remote work.
  • Comprehensive health and wellness programs.
  • Opportunities for continued education and skill development.
  • Access to cutting-edge technology and tools for innovation.
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software design and architecture.
  • Experience with C, C , machine learning, and embedded systems.
  • Experience with machine learning algorithms.
  • Experience with machine learning architecture.
  • Experience with machine learning research.

Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience taking machine learning models from research prototype to production on mobile or embedded devices, and owning them after launch.
  • Experience optimizing models for on-device accelerators through quantization, hardware-aware architecture design, or custom kernels.
  • Experience building and training models in JAX/TensorFlow.


Responsibilities
  • Design and implement the real-time on-device machine learning foundation that turns raw camera and sensor input into structured signals driving immediate application behavior.
  • Drive the optimization of outlook models for NPU, GPU, and DSP execution, including quantization, hardware-aware architecture design, and custom kernel development, in partnership with the Tensor silicon and compiler teams.
  • Own models end-to-end, from prototype through deployment on hundreds of millions of devices - training pipelines in JAX and TensorFlow, C integration into the camera pipeline, and long-term maintainability.
  • Partner with product, UX, software, and hardware teams to define the requirements for next-generation interactive features, and translate roadmap goals into designs achievable within device constraints.
  • Establish best practices for machine learning development, deployment, and evaluation. Define how model quality is measured; and contribute to the long-term technology roadmap.

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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