Google Ghana IT Jobs in Accra
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2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
Minimum qualifications:
- PhD in Computer Science or a similar technical field, or equivalent experience
- Experience in understanding natural language, computer vision, machine learning, algorithmic bases of optimization, data mining or artificial intelligence
- Participation in research activities including publication of papers and presentation at conferences (such as NIPS, ICML, ACL, CVPR, etc.)
- Experience of programming in one or more of the following languages: C, C ++, Python.
Desired qualifications:
- Relevant full-time professional experience in the field or experience as a laboratory scientist
- Many published articles
- Ability to develop and maintain research schedules
About the job
At Google, we have a special approach to research. Our team of researchers is not cloistered in a secret laboratory. She works closely with engineers to conduct large-scale tests and develop promising ideas quickly at a global level. Ideas can arise from internal projects as well as collaborations with research programs at partner universities and technical institutes around the world. Whether they're creating experimental features, testing prototypes or designing new architectures, our researchers are working on real-life topics, including artificial intelligence, data mining, natural language processing, performance analysis, and more. software and hardware, the Improved compilers for mobile platforms, but also our core business, Internet search, and more. But you remain a full-fledged researcher: you participate actively in the wider scientific community through partnerships with universities and publications.
At Google, researchers work alongside software engineers to discover, invent and build large-scale solutions. Ideas can arise from internal projects as well as collaborations with researchers at partner universities and technical institutes around the world. From the creation of experimental functions and the implementation of prototyping to the design of new learning algorithms, our researchers take up challenges in the fields of artificial perception, data mining, machine learning. and understanding of natural language. As a Google researcher, you will be actively contributing to the broader scientific community, collaborating with academic researchers and publishing articles.
Researchers in the Google Brain team are free to define their research agenda and dedicate the time they want to existing products. They can optimize their results by choosing a more abstract, methodological approach, or by focusing their efforts on applied research. As we develop many ideas that may take years to find concrete utility, our entire team follows a very diverse portfolio of projects. We are convinced that any substantial progress made on challenging applications can motivate and refine our research topics, while scientific discoveries will generate novel applications.
The Google Brain team's research focuses on multilayer learning methods of rich, non-linear feature extractors that can be applied to large volumes of data. Most of our work is in the deep learning branch of the machine learning field, but we are also interested in any method that allows for efficient and cost-effective learning of characteristics, and generates convincing results in the face of difficult problems. You will have access to resources and projects not found elsewhere. Our general research and fundamental research objectives allow us to work closely with and provide valuable support to a large number of product teams across the organization.
There is always more information in circulation, and the Research and Artificial Intelligence team is conducting an endless quest to find them and make them accessible. We're constantly refining our popular search engine to deliver better results, and we're developing offerings such as Google's Instant Search, Voice Search, and Image Search to make it faster. and more attractive. At Google, we provide users around the world with many search results every day, but we are not resting on our laurels. We're only just starting.
Responsibilities
- You participate in cutting-edge research in the field of artificial intelligence and machine learning.
- You develop solutions for concrete problems on a large scale.
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
Minimum qualifications:
- PhD in Computer Science or a similar technical field, or equivalent experience
- Experience in understanding natural language, computer vision, machine learning, algorithmic bases of optimization, data mining or artificial intelligence
- Participation in research activities including publication of papers and presentation at conferences (such as NIPS, ICML, ACL, CVPR, etc.)
- Experience of programming in one or more of the following languages: C, C ++, Python.
Desired qualifications:
- Relevant full-time professional experience in the field or experience as a laboratory scientist
- Many published articles
- Ability to develop and maintain research schedules
At Google, we have a special approach to research. Our team of researchers is not cloistered in a secret laboratory. She works closely with engineers to conduct large-scale tests and develop promising ideas quickly at a global level. Ideas can arise from internal projects as well as collaborations with research programs at partner universities and technical institutes around the world. Whether they're creating experimental features, testing prototypes or designing new architectures, our researchers are working on real-life topics, including artificial intelligence, data mining, natural language processing, performance analysis, and more. software and hardware, the Improved compilers for mobile platforms, but also our core business, Internet search, and more. But you remain a full-fledged researcher: you participate actively in the wider scientific community through partnerships with universities and publications.
At Google, researchers work alongside software engineers to discover, invent and build large-scale solutions. Ideas can arise from internal projects as well as collaborations with researchers at partner universities and technical institutes around the world. From the creation of experimental functions and the implementation of prototyping to the design of new learning algorithms, our researchers take up challenges in the fields of artificial perception, data mining, machine learning. and understanding of natural language. As a Google researcher, you will be actively contributing to the broader scientific community, collaborating with academic researchers and publishing articles.
Researchers in the Google Brain team are free to define their research agenda and dedicate the time they want to existing products. They can optimize their results by choosing a more abstract, methodological approach, or by focusing their efforts on applied research. As we develop many ideas that may take years to find concrete utility, our entire team follows a very diverse portfolio of projects. We are convinced that any substantial progress made on challenging applications can motivate and refine our research topics, while scientific discoveries will generate novel applications.
The Google Brain team's research focuses on multilayer learning methods of rich, non-linear feature extractors that can be applied to large volumes of data. Most of our work is in the deep learning branch of the machine learning field, but we are also interested in any method that allows for efficient and cost-effective learning of characteristics, and generates convincing results in the face of difficult problems. You will have access to resources and projects not found elsewhere. Our general research and fundamental research objectives allow us to work closely with and provide valuable support to a large number of product teams across the organization.
There is always more information in circulation, and the Research and Artificial Intelligence team is conducting an endless quest to find them and make them accessible. We're constantly refining our popular search engine to deliver better results, and we're developing offerings such as Google's Instant Search, Voice Search, and Image Search to make it faster. and more attractive. At Google, we provide users around the world with many search results every day, but we are not resting on our laurels. We're only just starting.
Responsibilities
- You participate in cutting-edge research in the field of artificial intelligence and machine learning.
- You develop solutions for concrete problems on a large scale.
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