Amazon · 1 day ago
Sr Manager, Applied Science, Last Mile Delivery Automation
Bellevue, WA
Full-time
Onsite
Senior Level, Lead/Staff
$197K/yr - $340K/yr
10+ years expAmazon is seeking a Senior Manager, Applied Science to lead the applied science charter for their Last-Hundred-Yard automation initiative. The role involves developing algorithms and models for autonomous delivery, leading a team of applied scientists, and ensuring integration between science and engineering to deliver scalable solutions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Set and own the applied science vision and roadmap for last-hundred-yard automation, spanning perception, localization, prediction, planning, learning-based controls, and HRI
Build, lead, and develop a high-performing applied science organization, including hiring, mentoring, performance management, and technical bar-raising
Drive the end-to-end science lifecycle from problem formulation and data strategy to model development, evaluation, deployment, and iteration in production
Partner closely with autonomy engineering to translate scientific advances into scalable, production-ready autonomy behaviors
Define and own scientific success metrics (e.g., autonomy performance, safety indicators, scenario coverage, intervention reduction) and ensure measurable impact
Lead the development of learning-driven autonomy using real-world data, simulation, and offline/online evaluation frameworks
Establish principled approaches for generalization across environments, including weather, terrain, lighting, customer properties, and interaction scenarios
Drive alignment between real-world operations and simulation, ensuring tight feedback loops for data collection and model validation
Influence safety strategy and validation by defining scientific evidence required for autonomy readiness and scale
Represent applied science in executive reviews, articulating trade-offs, risks, and long-term innovation paths
Qualification
Required
10+ years of building large-scale machine learning and AI solutions at Internet scale experience
Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience building large-scale machine learning and AI solutions at Internet scale
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
Preferred
10+ years of practical work applying ML to solve complex problems for large-scale applications experience
5+ years of hands-on work in big data, machine learning and predictive modeling experience
5+ years of people management experience
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
Experience in practical work applying ML to solve complex problems for large scale applications
Experience working with big data, machine learning and predictive modeling
Experience in people management
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc
Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
Experience researching actual applications
Benefits
Equity
Sign-on payments
Medical
Financial
Other forms of compensation
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