Senior Software Engineer, Machine Learning, Platforms and Devices

10 Months ago • 8-11 Years
Research Development

Job Description

This Senior Software Engineer role at Google focuses on Machine Learning for Platforms and Devices. Responsibilities include writing product/system development code, leading design reviews, partnering with researchers to build AI capabilities, and collaborating with product teams to create innovative user experiences. The ideal candidate has extensive experience in software development, machine learning algorithms (TensorFlow, etc.), and applied research. Leadership experience and working in complex organizations are preferred. The role involves launching new product features and contributing to Google's next-generation intelligent systems.
Good To Have:
  • Master's or PhD in a related field
  • 3+ years technical leadership experience
  • Experience with Machine Learning infrastructure
  • Experience in complex, matrixed organizations
Must Have:
  • 8+ years software development experience
  • 5+ years testing and launching software products
  • 3+ years experience with machine learning algorithms and tools
  • Experience with applied research on machine learning models
  • Strong software design and architecture skills
  • Proficient in data structures and algorithms

Add these skills to join the top 1% applicants for this job

tensorflow
algorithms
deep-learning
data-structures
cross-functional-collaboration
networking
cross-functional

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience in software development, and with data structures/algorithms.
  • 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
  • Experience with applied research on machine learning models.
  • Experience with cross-functional collaboration.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with Machine Learning infrastructure.

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities

  • Write product or system development code.
  • Lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Partners with Researchers across Alphabet to build edge focused emerging AI capabilities and technologies.
  • Partner with multiple Product teams to develop novel user experiences.
  • Design, develop, and launch new product features in software development

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