Amazon Web Services (AWS) ยท 17 hours ago
Sr. Manager, Applied Science, Deep Science for Systems & Services
Amazon Web Services (AWS) is looking for a Sr. Manager, Applied Science to lead a team of scientists in the Deep Science for Systems & Services division. The role involves developing and deploying advanced machine learning algorithms and solutions, while collaborating with customers and the research community on innovative projects.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Lead a team of world class scientists to work on foundation models, large-scale representation learning, and distributed learning methods and systems
Inventing, implementing, and deploying state of the art machine learning algorithms and systems
Build prototypes and innovate on new representation learning solutions
Interact closely with our customers and with the academic and research communities
Work on hardware-informed efficient model architecture, training objective and curriculum design
Perform distributed training, accelerated optimization methods
Engage in continual learning, multi-task/meta learning
Focus on reasoning, interactive learning, reinforcement learning
Ensure robustness, privacy, model watermarking
Implement model compression, distillation, pruning, sparsification, quantization
Qualification
Required
10+ years of relevant, broad research experience after PhD degree or equivalent
Deep expertise in foundational models as well as knowledge of the latest trends in related areas in Machine Learning
Proficiency in programming for algorithm and code reviews
Strong core competency in building solutions
Track record of successful projects in algorithm design and product development
Publications at top-tier peer-reviewed conferences or journals
Strong prior experience with management of senior scientists and engineers
Preferred
PhD in Computer Science, Machine Learning, Mathematics, or related quantitative discipline
Expert level skills across many Machine Learning methodologies
Published peer reviewed papers and journals at top rated academic venues
Experience delivering complex end-to-end global ML solutions that run at very big scale
Experience with access management and security solutions
Effective verbal and written communication skills with non-technical and technical audiences
Experience working with real-world data sets and building scalable models from big data
Experience thinking strategically and with tactical execution
Experience recruiting high caliber talent
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
Small Business Trends
2026-01-12
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