Software Engineer, Pixel AI Experiences

Conteúdo do emprego

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Minimum qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 3 years of professional experience leveraging Data Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a similar quantitative field.
• Software development experience in C++, Python or Java.
  
  

Preferred qualifications:

• Experience in one or more of the following areas: on-device machine learning, mobile algorithms, data analysis/experiments, and Android development.
• Experience in data management techniques and privacy considerations.
• Experience with implementing compute-heavy algorithms on mobile systems.
• Experience successfully launching one or multiple AI/ML-powered user-facing products.
  
  

About The Job

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As a Software Engineer, you will build the stack for scaling the organization’s machine learning (ML) needs, which include training and evaluation data strategies, incorporating human feedback for ML quality, on-device optimization, feature development, and quality experiments. In this role, you will be working across multiple teams and stakeholders.

It also includes qualifying/processing/labeling the data for use across multiple ML teams, user query understanding and leveraging the latest on-device and server based models.

The Google Pixel team focuses on designing and delivering the world’s most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

• Build a data evaluation pipeline in a safe and private way.
• Develop algorithms that leverage a multitude of models.
• Build evaluation datasets, metrics, and infrastructure to understand, evaluate and optimize the behavior of our models, platform and algorithms. Support a multitude of user facing features that rely on the quality and performance of these algorithms, such as running on-device and across different interfaces.
• Support a multitude of user-facing features that rely on the quality and performance of these algorithms, such as running on compute-constrained embedded systems.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .