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Sector:
Science and Pharmaceutical Role:
Senior Executive Contract Type:
Permanent Hours:
Full Time DESCRIPTION
The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants' capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.
Key Job Responsibilities:
Lead the development of innovative solutions to large and complex problems. Use your technical expertise to develop and deploy novel algorithms and modelling solutions in collaboration with other scientists and engineers. Analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and external publications. Mentor and guide junior scientists and contribute to the overall growth and development of the team.
BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in building machine learning models for business applications. Experience in applied research. Experience programming in Java, C++, Python, or a related language. Experience in patents or publications at top-tier peer-reviewed conferences or journals.
PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience with large scale distributed systems such as Hadoop, Spark, etc.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( Privacy Notice ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
Accommodations
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Science and Pharmaceutical Role:
Senior Executive Contract Type:
Permanent Hours:
Full Time DESCRIPTION
The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants' capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.
Key Job Responsibilities:
Lead the development of innovative solutions to large and complex problems. Use your technical expertise to develop and deploy novel algorithms and modelling solutions in collaboration with other scientists and engineers. Analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and external publications. Mentor and guide junior scientists and contribute to the overall growth and development of the team.
BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in building machine learning models for business applications. Experience in applied research. Experience programming in Java, C++, Python, or a related language. Experience in patents or publications at top-tier peer-reviewed conferences or journals.
PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience with large scale distributed systems such as Hadoop, Spark, etc.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( Privacy Notice ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
Accommodations
for more information. Company
Learn more about this company Visit this company’s hub to learn about their values, culture, and latest jobs.
#J-18808-Ljbffr
