Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems If so youre at the right place!
As a Quantitative Researcher on our team you will be working at the intersection of mathematics computer science and finance you will collaborate with a diverse team of engineers in a fast-paced intellectually challenging environment where innovative thinking is encouraged and rewarded.
We operate at Amazons large scale with the energy of a nimble start-up. If you have a learners mindset enjoy solving challenging problems and value an inclusive team culture you will thrive in this role and we hope to hear from you.
Key job responsibilities * Conduct statistical analyses on web-scale datasets to develop state-of-the-art multimodal large language models * Conceptualize and develop mathematical models data sampling and preparation strategies to continuously improve existing algorithms * Identify and utilize data sources to drive innovation and improvements to our LLMs
About the team We are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.
- 3 years of building models for business application experience - PhD or Masters degree and 4 years of CS CE ML or related field experience - Experience programming in Java C Python or related language - Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux - Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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