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Software Engineer III, Machine Learning, Google Research

Closing: Apr 4, 2024

This position has expired

Published: Mar 22, 2024 (31 days ago)

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Job Summary

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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.

You will work together with other Artificial Intelligence researchers to translate theoretical models and concepts into Artificial Intelligence solutions, often focused on addressing challenges specific to the African context.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • Candidates will typically have 2 years of experience with software development in Python or other programming languages for Artificial Intelligence development, or 1 year of experience with an advanced degree.
  • Typically 2 years of experience with Machine Learning and Deep Learning algorithms and tools (e.g. TensorFlow).
  • Typically 2 years of experience with data structures or algorithms.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in developing accessible technologies.
  • Knowledge of linear algebra, statistics, and calculus relating to the underlying principles of Artificial Intelligence algorithms.


Responsibilities

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.

You will work together with other Artificial Intelligence researchers to translate theoretical models and concepts into Artificial Intelligence solutions, often focused on addressing challenges specific to the African context.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • Candidates will typically have 2 years of experience with software development in Python or other programming languages for Artificial Intelligence development, or 1 year of experience with an advanced degree.
  • Typically 2 years of experience with Machine Learning and Deep Learning algorithms and tools (e.g. TensorFlow).
  • Typically 2 years of experience with data structures or algorithms.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in developing accessible technologies.
  • Knowledge of linear algebra, statistics, and calculus relating to the underlying principles of Artificial Intelligence algorithms.


  • Develop rapid prototypes to assess the feasibility and performance of potential Artificial Intelligence solutions.
  • Design robust pipelines for taking Artificial Intelligence models from the research stage to production-level systems within African organizations.
  • Collaborate on sourcing, cleaning, and preparing datasets unique to African contexts, ensuring they are suitable for Artificial Intelligence training and evaluation.
  • Build tools and APIs that help researchers and other stakeholders interact with and understand the outcomes of Artificial Intelligence models.
  • Contribute to open-source Artificial Intelligence initiatives within Africa, create documentation, and train others on the use of developed Artificial Intelligence software systems.


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