Amazon Web Services (AWS)
Overview
Join us in a historic endeavor to make Multimodal AI accessible to the world with breakthrough research! The Multimodal AI team has a world-leading team of researchers and academics. We develop the algorithms and models that power AWS AI services such as Bedrock Data Automation, Transcribe, Textract and Rekognition. Responsibilities
Hands-on contributor who identifies and shapes directions for forward-looking research and develops innovative solutions to hard, previously unsolved customer problems. Partner with senior managers and Directors to guide the research of individual scientists. Work closely with engineering teams to define architectures and solutions that transform multimodal AI research into services operating at AWS scale. Lead new areas of research and publish results at peer-reviewed conferences and workshops. Team and Research Themes
Our research themes include, but are not limited to: multimodal understanding of documents/video/audio; post-training of multimodal foundation models including supervised fine tuning and RL; automated annotations; in-context learning and context compression; model distillation and optimization. Locations include US (Seattle and Bay Area) and Israel (Haifa and Tel Aviv), with additional locations in New York City. About The Team
Inclusive Team Culture: Here at AWS, we embrace our differences and are committed to inclusion. We have employee-led affinity groups and a culture reinforced by our Leadership Principles. Work/Life Balance: We value work-life balance and offer flexibility in working hours. Mentorship & Career Growth: We support new members with mentoring and opportunities to grow into more complex roles. Basic Qualifications
Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field. 7+ years of experience in AI and Machine Learning in industry and/or academia. 3+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers from industry and/or academia. Proven research science publication background with a track record of thought leadership and contributions that have advanced the field. Strong skills in programming languages, such as C/C++ and Python. Proven experience in commercializing computer vision, machine learning, or deep learning solutions. Strong record of delivery in industry and academic contexts, ability to handle multiple competing priorities in a fast-paced environment. Excellent written and verbal communication skills. Preferred Qualifications
PhD or MSc in computer science or related fields - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. 5+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers. Strong publication history in top peer reviewed conferences. Proven experience in designing and delivering computer vision or machine learning systems with multiple components. Professional traits that are not unique to this position, but necessary for Amazon leaders. Exhibits excellent judgment; hires and develops great people; relentlessly high standards; dives deep and is never out of touch with the details of the business or the technology; expects and requires innovation; has passion and convictions and the innate ability to inspire passion in others; oriented towards delivering results; thinks big. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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 $179,000/year to $309,400/year. Pay is based on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr
Join us in a historic endeavor to make Multimodal AI accessible to the world with breakthrough research! The Multimodal AI team has a world-leading team of researchers and academics. We develop the algorithms and models that power AWS AI services such as Bedrock Data Automation, Transcribe, Textract and Rekognition. Responsibilities
Hands-on contributor who identifies and shapes directions for forward-looking research and develops innovative solutions to hard, previously unsolved customer problems. Partner with senior managers and Directors to guide the research of individual scientists. Work closely with engineering teams to define architectures and solutions that transform multimodal AI research into services operating at AWS scale. Lead new areas of research and publish results at peer-reviewed conferences and workshops. Team and Research Themes
Our research themes include, but are not limited to: multimodal understanding of documents/video/audio; post-training of multimodal foundation models including supervised fine tuning and RL; automated annotations; in-context learning and context compression; model distillation and optimization. Locations include US (Seattle and Bay Area) and Israel (Haifa and Tel Aviv), with additional locations in New York City. About The Team
Inclusive Team Culture: Here at AWS, we embrace our differences and are committed to inclusion. We have employee-led affinity groups and a culture reinforced by our Leadership Principles. Work/Life Balance: We value work-life balance and offer flexibility in working hours. Mentorship & Career Growth: We support new members with mentoring and opportunities to grow into more complex roles. Basic Qualifications
Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field. 7+ years of experience in AI and Machine Learning in industry and/or academia. 3+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers from industry and/or academia. Proven research science publication background with a track record of thought leadership and contributions that have advanced the field. Strong skills in programming languages, such as C/C++ and Python. Proven experience in commercializing computer vision, machine learning, or deep learning solutions. Strong record of delivery in industry and academic contexts, ability to handle multiple competing priorities in a fast-paced environment. Excellent written and verbal communication skills. Preferred Qualifications
PhD or MSc in computer science or related fields - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. 5+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers. Strong publication history in top peer reviewed conferences. Proven experience in designing and delivering computer vision or machine learning systems with multiple components. Professional traits that are not unique to this position, but necessary for Amazon leaders. Exhibits excellent judgment; hires and develops great people; relentlessly high standards; dives deep and is never out of touch with the details of the business or the technology; expects and requires innovation; has passion and convictions and the innate ability to inspire passion in others; oriented towards delivering results; thinks big. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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 $179,000/year to $309,400/year. Pay is based on market location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr