Amazon Web Services (AWS) · 12 hours ago
Sr. Manager, Applied Science, Deep Science for Systems & Services
Santa Clara, CA
Full-time
Onsite
Director/Executive
$252K/yr - $340K/yr
10+ years expAmazon Web Services (AWS) is looking for a Sr. Manager, Applied Science who will lead a team of world-class scientists in the field of machine learning. The role involves inventing, implementing, and deploying state-of-the-art algorithms and systems, while collaborating closely with customers and academic communities.
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
Build prototypes and innovate on new representation learning solutions
Interact closely with customers and with the academic and research communities
Work on hardware-informed efficient model architecture, training objective and curriculum design
Focus on distributed training and accelerated optimization methods
Engage in continual learning, multi-task/meta learning, reasoning, interactive learning, and reinforcement learning
Address 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
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
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.
10001+ employees
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
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
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