Applied Scientist, Artificial General Intelligence
Sunnyvale, California, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems.
Key job responsibilities
As an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision.
About the team
The AGI team has a mission to advance the state of the art with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with popular deep learning frameworks, including PyTorch
- Experience with learning multimodal LLMs and Gen AI in Computer Vision, both in the image and video domains
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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.
Key job responsibilities
As an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision.
About the team
The AGI team has a mission to advance the state of the art with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field- Experience with popular deep learning frameworks, including PyTorch
- Experience with learning multimodal LLMs and Gen AI in Computer Vision, both in the image and video domains
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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.
Job stats:
1
0
0
Category:
Data Science Jobs
Tags: AGI Computer Science Computer Vision Deep Learning Engineering Generative AI Java LLMs Machine Learning Mathematics PhD Python PyTorch
Perks/benefits: Career development Conferences Equity / stock options
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
BI Developer jobsData Engineer II jobsSr. Data Engineer jobsPrincipal Data Engineer jobsStaff Data Scientist jobsBusiness Intelligence Analyst jobsStaff Machine Learning Engineer jobsData Science Manager jobsPrincipal Software Engineer jobsData Manager jobsData Science Intern jobsJunior Data Analyst jobsSoftware Engineer II jobsDevOps Engineer jobsData Analyst Intern jobsData Specialist jobsBusiness Data Analyst jobsSr. Data Scientist jobsStaff Software Engineer jobsLead Data Analyst jobsAI/ML Engineer jobsResearch Scientist jobsSenior Backend Engineer jobsData Engineer III jobsBI Analyst jobs
NLP jobsAirflow jobsOpen Source jobsEconomics jobsMLOps jobsTerraform jobsKPIs jobsNoSQL jobsKafka jobsLinux jobsJavaScript jobsComputer Vision jobsData Warehousing jobsRDBMS jobsGoogle Cloud jobsPostgreSQL jobsPhysics jobsBanking jobsGitHub jobsScikit-learn jobsHadoop jobsScala jobsStreaming jobsData warehouse jobsPandas jobs
R&D jobsOracle jobsdbt jobsCX jobsBigQuery jobsClassification jobsLooker jobsReact jobsDistributed Systems jobsPySpark jobsScrum jobsRAG jobsRedshift jobsJira jobsELT jobsRobotics jobsPrompt engineering jobsMicroservices jobsIndustrial jobsGPT jobsSAS jobsMySQL jobsData Mining jobsNumPy jobsTypeScript jobs