Amazon · 5 days ago
Sr. Manager Applied Science, MLA
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
$197K/yr - $340K/yr
8+ years expAmazon is seeking a Senior Manager Applied Science to join their Machine Learning Accelerator team. This role involves leading a team of scientists to develop Machine Learning applications that address strategic business challenges and collaborating with engineers and business partners to implement scalable solutions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead a team of scientists to research and prototype Machine Learning applications that solve strategic business problems across SPS domains
Collaborates with engineers and business partners to design and implement solutions at scale that are of broad benefit to SPS organizations
Develop large-scale solutions for high impact projects
Introduce tools and other techniques that can be used to solve problems from various perspectives
Show depth and competence in more than one area
Influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning
Develop and introduce tools and practices that streamline the work of the team
Mentor junior team members and participate in hiring
Qualification
Required
An MS in CS, Machine Learning, Statistics, Operations Research, or in a highly-quantitative field
8+ years' work experience in relevant science domains, including 4+ years of managing science teams
4+ years of hands-on experience in machine learning, deep learning and large data analysis
Superior ML breadth and strong depth
Proficiency with Spark/Python/Perl, or other statistical/mathematical packages
Experience with neural deep learning methods and machine learning
Preferred
A PhD in CS, Machine Learning, Statistics, Operations Research, or in a highly-quantitative field
8+ years' work experience in relevant science domains, including 6+ years of managing science and engineering teams
6+ years of hands-on experience in predictive modeling and large data analysis
Excellent verbal and written communication and data presentation skills
Expertise in large language models or demonstrated ability to develop this expertise quickly
Strong problem solving ability
Benefits
Equity
Sign-on payments
Medical
Financial
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
2026-01-19
2026-01-19
Company data provided by crunchbase