Amazon · 4 days ago
Applied Science Manager, Fire TV Science
Sunnyvale, CA
Full-time
Hybrid
Lead/Staff, Director/Executive
$166K/yr - $286K/yr
4+ years expAmazon is a leading company in the streaming media space, and they are seeking an Applied Science Manager for their Fire TV Science team. This role involves leading a team of scientists focused on Language Understanding and collaborating on innovative algorithms to enhance content discovery and customer engagement.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Be a hands-on lead for our Language Understanding (LU) sub-team, owning all our query understanding components and models
Lead and mentor a team of 6 scientists, fostering their professional development and technical growth while establishing and executing the research vision
Collaborate closely with Search and Recommendations workstreams within the broader Fire TV Science team, contributing to cross-functional initiatives and expanding technical influence beyond the LU domain
Drive end-to-end impact by designing scalable solutions that systematically address technical challenges and deliver lasting customer benefit
Balance and prioritize multiple workstreams spanning long-term research, applied projects, and production support to ensure high-impact outcomes
Drive adoption of state-of-the-art approaches across the organization by staying at the forefront of relevant technological advances, spanning language understanding models, LLM evaluations, prompt engineering, search and personalization models, and more
As the Language Understanding sub-team lead, you'll balance hands-on technical work with team leadership and cross-functional collaboration
Your day might include conducting and reviewing model evaluations, interfacing with the Alexa central team on LLM routing and architectural design questions, resolving domain conflicts, and brainstorming with Search and Recommendations leads to explore synergies
You'll dive into code to prototype novel query understanding approaches, prioritize production issues, and engage with engineering and product partners on upcoming features
Throughout, you'll challenge the status quo, identify automation opportunities to free time for higher-impact work, and stay current with NLU research
The role involves regular travel between our two sites
Qualification
Required
4+ years of scientists or machine learning engineers management experience
Knowledge of ML, NLP, Information Retrieval and Analytics
PhD
Preferred
Experience building machine learning models or developing algorithms for business application
Knowledge of deep learning, machine learning and statistics
Experience delivering results for large, cross-functional initiatives/projects
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
Experience effectively communicating complex concepts through written and verbal communication
Experience leveraging GenAI techniques and models to solve technical business problems
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
2026-01-19
2026-01-19
Company data provided by crunchbase