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Applied Scientist (Fixed Term Contract), Amazon Music AI and Personalization

ID: 4828

Type: Full-time

Category: Others

Company Name: Snackable OU

Location: EST, Tallinn - Tallinn - Estonia

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Job Description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

Please note this position is a Fixed Term Contract role until September 2027.

Key job responsibilities
- Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done in tandem with engineering teams, you'll implement and validate your ideas and solutions.
- Advocate solutions and communicate results, insights and recommendations to stakeholders and partners.
- Produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders.
- Stay current with advancements in the field, adapting latest in literature to build efficient and scalable models

A day in the life
You will lead innovation in AI/ML to shape Amazon Music experiences for millions. This role will involve developing state of the art models leveraging and advancing the latest developments in machine learning and AI, collaborating with with talented engineers and scientists to guide research and building scalable models across our audio portfolio - music, podcasts, live streaming, and more. You will drive experiments and rapid prototyping, leveraging Amazon's data at scale.

This is an opportunity to innovate daily alongside world-class teams to delight customers worldwide through personalization.

About the team
Our team works with modern AI technologies to transform how customers discover and engage with music and podcasts. We focus on the canonical customer understanding layer for personalization across Amazon audio experiences. We are the "who" experts - we know who the customer is, what they want, where they are in their journey, and how their preferences evolve over time. Amazon Music is available in countries around the world, and our solutions support our mission of delivering music and podcasts to customers in new, exciting ways that enhance their day-to-day lives.

Basic Qualifications

- Previous experience building models for business application
- PhD, or Master's degree in CS, CE, ML or equivalent relevant work experience
- Experience programming in Java, C++, Python or another modern programming language
- Experience in neural deep learning methods, machine learning or natural language processing

Preferred Qualifications

- Experience using Unix/Linux
- Experience in professional software development
- Experience with modeling and data analysis tools such as Pytorch, scikit-learn, pandas, numpy, scipy etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company Information

Company Name: Snackable OU

Company Website: https://snackable.io

Company Address: N/A

Snackable OÜ is a technology company that develops and operates a short-form video distribution and monetization platform designed for publishers, brands, and content creators. The company provides an integrated software stack that enables partners to host, publish, distribute, and monetize short-form video clips and microprogramming across web, mobile apps, and connected devices. Snackable OÜ’s offering is positioned at the intersection of content delivery, ad monetization, and creator tools—providing technical infrastructure (SDKs and APIs), content management features, analytics, and ad-serving capabilities so publishers and app owners can incorporate snackable, mobile-first video experiences into their properties. At a product level, Snackable OÜ focuses on a handful of core capabilities: a lightweight content management and ingestion system optimized for short-form vertical and square video; client-side SDKs for native mobile and web playback that support recommended UX patterns for short videos (autoplay, swiping, continuous playback); monetization modules that connect publishers to programmatic and direct-sold advertising inventory (including support for pre-roll, mid-roll, native and in-feed ad formats); and analytics and performance tooling to measure engagement, retention, viewability and ad metrics. The platform is designed to reduce the engineering cost for publishers who want to add a short-video feed or microsite while retaining control over content curation, brand experience and how ad revenue is shared. Snackable OÜ’s typical customers include digital publishers, media companies, app developers, and brands seeking to deploy short-form video experiences quickly without building a full video stack from scratch. For publishers, the product is typically offered as a white-label or embeddable solution that can be integrated into existing sites and mobile apps using the company’s SDKs and APIs. For developers and product teams, Snackable provides documentation, sample integrations and client libraries to accelerate deployment. For brands and marketers, the platform supports campaign management tools and reporting dashboards that enable targeted delivery of sponsored content and measurement against key performance indicators such as video completion rates, view-through rates and incremental reach. On the technical side, Snackable OÜ’s platform emphasizes low-latency video delivery, adaptive bitrate streaming for variable network conditions, and client optimizations for mobile devices (battery and data efficiency). The service typically integrates with content delivery networks (CDNs) and supports standard video codecs and container formats to maintain compatibility across browsers and devices. Server-side components include content ingestion pipelines, transcoding workflows, metadata and rights management, programmatic ad-server integrations (RTB/SSP/DSP connectors) and an analytics data pipeline that feeds dashboards and reporting APIs. The combination of SDKs, configurable UX templates and monetization integrations allows partners to roll out distinct feed experiences—news clips, branded entertainment, user-generated content highlights, or product demo reels—while centralizing content governance. Business models used by Snackable OÜ often include licensing/subscription for the software, revenue-share arrangements on advertising inventory served through the platform, and professional services for custom integrations and design. This mix allows small and medium publishers to adopt the platform on a SaaS basis while enabling large media groups to negotiate enterprise contracts that include managed services, custom feature development and service-level agreements (SLAs). Additionally, the platform’s ad modules can be connected to third-party demand sources to maximize fill and CPMs, and the company typically offers reporting that separates editorial engagement metrics from monetization performance so publishers can optimize both content strategy and ad yield. From a commercial standpoint, Snackable OÜ markets to organizations that want to capture mobile-first, snack-sized attention spans without the time and cost of building a bespoke video infrastructure. Typical value propositions emphasized in the company’s materials include faster time-to-market for short-video products, increased monetization through native and programmatic ad formats, improved audience engagement metrics (session duration, repeat visits) driven by continuous-play short clips, and reduced engineering overhead through ready-made SDKs and integrations. The product frequently appeals to newsrooms, lifestyle publishers, ecommerce apps that want short product videos, and entertainment networks seeking to repurpose long-form content into short highlights. Operationally, the company supports partners through onboarding, technical integration assistance, and ongoing account management for campaign operations and revenue optimization. The analytics and measurement suite assists editorial teams and advertisers in understanding viewer behavior and ad performance, enabling iterative improvements to content sequencing, creative length and targeting parameters. Where required, Snackable OÜ can provide customization of UX templates so the short-video experience matches the publisher’s brand guidelines and content policies. While specifics such as company founding date, investor backing or leadership are not included here, the description above reflects the publicly observable product and service categories associated with Snackable OÜ’s technology offering: a platform focused on short-form video distribution, publisher SDKs and monetization tools for digital media businesses and brands.
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