Amazon · 3 weeks ago
Sr. Manager, Applied Science, Deep Science for Systems & Services
Santa Clara, California, USA
Full-time
Onsite
Director/Executive
$197K/yr - $340K/yr
10+ years expAmazon Development Center U.S., Inc. is seeking a Sr. Manager, Applied Science for their AWS Deep Science for Systems & Services team. The role involves leading a team of scientists to develop and implement advanced machine learning algorithms and systems, focusing on large-scale foundation models and innovative representation learning solutions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead a team of world class scientists to work on foundation models, large-scale representation learning, and distributed learning methods and systems
Build prototypes and innovate on new representation learning solutions
Interact closely with customers and with the academic and research communities
Develop hardware-informed efficient model architecture, training objective and curriculum design
Oversee distributed training and accelerated optimization methods
Manage continual learning, multi-task/meta learning, reasoning, interactive learning, and reinforcement learning
Ensure robustness, privacy, model watermarking, model compression, distillation, pruning, sparsification, and 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
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon 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
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase