Amazon
Applied Scientist II, Amazon
Amazon, Seattle, Washington, us, 98127
We’re working to improve shopping on Amazon using large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical product managers (PMT) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Minimum Qualifications:
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingCurrent knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism, etc.)Experience using Unix/LinuxHands-on experience working with LLMs, Graph-ML and/or multi-modal modelsPatents or publications at top-tier peer-reviewed conferences or journalsExperience with hardware accelerators (e.g. GPGPU, FPGA, TPU)Experience with AWS services, and large-scale data processing frameworks like Spark etc.Coding proficiency in at least one modern deep learning framework (PyTorch, Tensorflow)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. For individuals with disabilities who would like to request an accommodation, please visit
this link .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.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingCurrent knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism, etc.)Experience using Unix/LinuxHands-on experience working with LLMs, Graph-ML and/or multi-modal modelsPatents or publications at top-tier peer-reviewed conferences or journalsExperience with hardware accelerators (e.g. GPGPU, FPGA, TPU)Experience with AWS services, and large-scale data processing frameworks like Spark etc.Coding proficiency in at least one modern deep learning framework (PyTorch, Tensorflow)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. For individuals with disabilities who would like to request an accommodation, please visit
this link .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.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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