Amazon · 1 day ago
Applied Science Manager, Customer Intent
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$184K/yr - $249K/yr
3+ years expAmazon is seeking an Applied Science Manager to lead the science vision and research strategy for customer intent modeling. This role involves building and mentoring a team of applied scientists and delivering production-ready models that enhance customer recommendations and personalization.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Own the scientific vision and roadmap for customer intent modeling across the funnel (browse, search, detail-page engagement, add-to-cart, purchase, and post-purchase), translating ambiguous customer problems into a prioritized research and delivery plan
Lead and grow a team of applied scientists, including hiring, mentoring, and building a culture of scientific rigor, innovation, and operational excellence
Drive end-to-end model and system delivery, partnering closely with engineering to design, implement, launch, and operate solutions in high-throughput, low-latency production environments (candidate generation, ranking, re-ranking, and explanation)
Advance state-of-the-art personalization using modern techniques (transformers, LLMs, representation learning, reinforcement learning/bandits where appropriate) and ensure research investments translate into measurable lifts via online experiments
Establish an evaluation and experimentation strategy for intent and recommendation quality: offline metrics, counterfactual/off-policy evaluation where applicable, calibrated A/B testing, guardrails (trust, safety, fairness)
Build robust intent representations that capture both short-term intent and longer-horizon preferences, with disciplined approaches to privacy, data minimization, and responsible AI
Influence product strategy and executive communication, presenting clear scientific narratives, tradeoffs, and decisions to senior leadership and cross-functional stakeholders (product, design, engineering, privacy/legal)
Raise the scientific bar via external visibility when appropriate: publications, patents, workshops, and internal scientific reviews while balancing novelty with operational impact
Qualification
Required
3+ years of scientists or machine learning engineers management experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Experience directly managing scientists or machine learning engineers
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
Preferred
Experience building machine learning models or developing algorithms for business application
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
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
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
San Bernardino Sun
2026-02-04
2026-02-04
Company data provided by crunchbase