Senior Applied Scientist, Artificial General Intelligence
Job Description
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of state of the art algorithms and models for pretraining and supervised fine-tuning, with a focus across image and video modalities.As a Senior Applied Scientist, you will play a critical role in driving the development of Generative Artificial Intelligence (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilities- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results- Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
Locations
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
250,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 5+ years of applied research experienceintermediate
- - 4+ years of building machine learning models for business application experienceintermediate
- - Experience with neural deep learning methods and machine learningintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
Required Qualifications
- - PhD, or Master's degree and 5+ years of applied research experience (experience, 5 years)
- - 4+ years of building machine learning models for business application experience (experience, 4 years)
- - Experience with neural deep learning methods and machine learning (experience)
- - Experience programming in Java, C++, Python or related language (experience)
Preferred Qualifications
- - PhD in Computer Science, Machine Learning, or a related field; with a focus on GenAI in Computer Vision (degree in computer science)
- - Experience with learning multimodal LLMs and GenAI in Computer Vision, both in the image and video domains (experience)
- - Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch (experience)
- - Excellent problem-solving skills, with the ability to think creatively and critically about complex problems (experience)
- - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams (experience)
- - Experience with patents or publications at top-tier peer-reviewed conferences or journals (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- - Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision
- - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
- - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
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Senior Applied Scientist, Artificial General Intelligence
Job Description
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of state of the art algorithms and models for pretraining and supervised fine-tuning, with a focus across image and video modalities.As a Senior Applied Scientist, you will play a critical role in driving the development of Generative Artificial Intelligence (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilities- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision- Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results- Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
Locations
- United States, WA, Bellevue, Bellevue, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
250,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 5+ years of applied research experienceintermediate
- - 4+ years of building machine learning models for business application experienceintermediate
- - Experience with neural deep learning methods and machine learningintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
Required Qualifications
- - PhD, or Master's degree and 5+ years of applied research experience (experience, 5 years)
- - 4+ years of building machine learning models for business application experience (experience, 4 years)
- - Experience with neural deep learning methods and machine learning (experience)
- - Experience programming in Java, C++, Python or related language (experience)
Preferred Qualifications
- - PhD in Computer Science, Machine Learning, or a related field; with a focus on GenAI in Computer Vision (degree in computer science)
- - Experience with learning multimodal LLMs and GenAI in Computer Vision, both in the image and video domains (experience)
- - Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch (experience)
- - Excellent problem-solving skills, with the ability to think creatively and critically about complex problems (experience)
- - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams (experience)
- - Experience with patents or publications at top-tier peer-reviewed conferences or journals (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
- - Collaborate with cross-functional teams of engineers and scientists to identify and solve complex GenAI problems in Computer Vision
- - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
- - Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team