applied scientist prime video content localization understanding enrichment

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
As a Prime Video team member, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Key job responsibilities<br>
As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent. You will lead the research direction for a team of deeply talented applied scientists, creating the roadmaps for forward-looking research and communicate them effectively to senior leadership. You will also hire and develop applied scientists - growing the team to meet the evolving needs of our customers.<br>
<br>
<br>
<br>
About the team<br>
This team's mission is to deeply understand all content and empower all customers with relevant language options, innovative accessibility assists, and rich title-information across all their content-experiences on Prime Video. We create and publish content on-time that's meaningful, accurate, and accessible to every customer globally. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.<br>
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</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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.<br>
<br>
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul><br>
A day in the life<br>
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Amazon Music - DISCO

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you ready to turn data into decisions that shape one of Amazon's most iconic programs?<br>
The US Prime Finance team is looking for an analytically-driven Business Analyst who thrives at the intersection of data, storytelling, and strategy. A successful candidate will be a strategic thinker, highly analytical, comfortable with creating data driven narratives, customer obsessed, and have a willingness to navigate ambiguity. They must be comfortable contributing to plans presented to senior leadership (SVP level) as well as having a high bar for data fidelity. Your analysis won't just inform decisions, it will drive them.<br>
<br>
As an Business Analyst on the US Prime Finance team, you will own the analytical infrastructure that powers decision-making for Amazon's flagship membership program. You'll design and maintain reporting frameworks, surface actionable insights from complex datasets, and serve as a trusted analytical partner to cross-functional teams across US Prime, WW Prime, and Prime Benefits. Blending together financial and economic principles, a successful candidate requires an uncanny ability to work across stakeholder groups and evaluate tradeoffs between business focused requirements and technical limitations and priorities.<br>
<br>
Key job responsibilities<br>
<ul><li>Build and own reporting frameworks that track Prime membership performance, translating raw data into clear, executive-ready narratives for SVP-level audiences.</li><li>Conduct deep-dive analyses using internal and external data sources to identify trends, anomalies, and opportunities, synthesizing complex findings into concise, actionable takeaways.</li><li>Develop KPI frameworks for ambiguous or unmeasured business challenges, establishing clear success metrics that enable teams to track progress and drive accountability.</li><li>Design and maintain dashboards and automated reporting pipelines that reduce manual effort and increase the speed and reliability of business insights.</li><li>Partner with cross-functional teams &mdash; including Retail Stores, WW Prime, and Prime Benefits (Prime Video, Prime Gaming, Shipping) &mdash; to align on measurement standards and ensure consistency in how program performance is evaluated.</li><li>Lead automation initiatives for critical reporting processes, improving scalability and freeing capacity for higher-value analytical work.</li></ul><br>
About the team<br>
The US Prime team is focused on delivering the most engaging, satisfying, and loved membership program that drives the Amazon flywheel by growing the member base and accelerating engagement with Prime benefits.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience</li><li>3+ years of business or financial analysis experience</li><li>Bachelor's degree or equivalent</li><li>Experience defining requirements and using data and metrics to draw business insights</li><li>Experience with Excel</li><li>Experience with SQL</li><li>Experience making business recommendations and influencing stakeholders</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 74,300.00 - 130,100.00 USD annually<br>
USA, WA, Seattle - 82,700.00 - 130,100.00 USD annually</div><p></p>

Business Analyst, US Prime

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 <br/>
 <br/>
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 <br/>
 <br/>
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
  </li>
  <li>
   You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
  </li>
  <li>
   You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
  </li>
  <li>
   You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
  </li>
  <li>
   You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  </li>
  <li>
   2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  </li>
  <li>
   1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  </li>
  <li>
   Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  </li>
  <li>
   Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  </li>
  <li>
   Knowledge of machine learning concepts and their application to reasoning and problem-solving
  </li>
  <li>
   Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  </li>
  <li>
   Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  </li>
  <li>
   Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
  </li>
  <li>
   Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
   <br/>
   <br/>
  </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 <br/>
 <br/>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 <br/>
 <br/>
 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
 <br/>
 <br/>
 Job ID: A3206663
</div>


Data Scientist I, SHAKE

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Games is seeking a Principal Product Manager &ndash; Technical to strengthen how games connect across Amazon&rsquo;s ecosystem and build scalable, repeatable integration strategies that drive customer growth. In this role, you will drive strategic initiatives that shape how games surface across Amazon. Example projects may include helping to define the games long-term roadmap, identifying high-impact entry points, improving discovery and access, and creating seamless cross-entertainment experiences.<br>
<br>
This role operates at the intersection of multiple Amazon organizations, including Fire TV, Prime, and Prime Video. You will work across these teams to unlock synergies, align priorities, and establish scalable mechanisms for collaboration.<br>
The ideal candidate has a mix of strategy, product, and business development skills and can translate broad, ambiguous opportunities into clear product direction and execution. They are comfortable navigating organizational complexity, building alignment where none exists today, and creating systems that scale. They understand that success is not defined by individual launches, but by building a repeatable flywheel that compounds.<br>
<br>
Key job responsibilities<br>
<ul><li>Identify and prioritize high-impact integration and partnership opportunities across Amazon to expand reach and engagement for games</li><li>Define and drive flywheel strategy and roadmap, translating broad opportunities into clear, executable initiatives</li><li>Influence and shape business strategy through data-driven insights that balance customer needs with long-term business impact</li><li>Serve as a trusted advisor to senior leadership, particularly in ambiguous or emerging areas where strategy is still being formed</li><li>Establish and own cross-org mechanisms (e.g., QBRs, roadmap reviews, goal alignment) to drive visibility, accountability, and execution across teams</li><li>Build and manage strong partnerships across Amazon, aligning incentives and driving shared outcomes with partner teams</li><li>Identify, synthesize, and apply emerging trends in gaming, media, and technology to inform product direction</li></ul><br>
About the team<br>
Amazon Luna is a cloud gaming service that makes it easy for anyone to play high-quality games on the devices they already own&mdash;including Fire TV and tablet devices, smartphones, tablets, web browsers, select smart televisions from LG and Samsung, and more-with no need to purchase new gaming consoles or equipment. Luna brings more than 50 games to Prime members at no additional cost, including GameNight, an evolving collection of more than 25 approachable, local multiplayer games designed to bring friends and family together in the living room. To play GameNight titles, simply scan a QR code on your TV and your smartphone becomes your controller. With simple and responsive touchscreen inputs and support for multiple local players, GameNight offers and easy and approachable way to play whether you&rsquo;re an experienced gamer of a casual fan.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of product or program management, product marketing, business development or technology experience</li><li>Bachelor's degree</li><li>Experience with feature delivery and tradeoffs of a product</li><li>Experience owning/driving roadmap strategy and definition</li><li>Experience with end to end product delivery</li><li>Experience contributing to engineering discussions around technology decisions and strategy related to a product</li><li>Experience technical product management</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with Engineers on product enhancements</li><li>Experience in project management methodologies, business analysis, or process improvement</li><li>8+ years of Games Industry (supporting title Development, Release, or Live Ops) experience, or a MBA and 5+ years of working cross functionally with tech and non-tech teams experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Culver City - 179,900.00 - 243,400.00 USD annually<br>
USA, NY, New York - 197,900.00 - 267,800.00 USD annually<br>
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually</div><p></p>

Principal Product Manager - Tech, Amazon Games GenAI & Strategic Initiatives

MoPOP

<div><p>Job Title: Post-Production Specialist
</p><p>Reports to: Director, Multimedia Production + Operations
</p><p>Department: Marketing
</p><p>Supervises: Does not supervise others
</p><p>Work Schedule: Monday - Friday, at least 3 days onsite. This position requires some weekend
 </p><p>and evening work to support MOPOP events. This position will have periodic
 </p><p>travel assignments to support museum projects.
</p><p>Salary: $32.50 - $36.50. This is a non-exempt FLSA position.<br>
</p><p></p><p><b>Position Summary
</b></p><div>The Post-Production Specialist leads MOPOP&rsquo;s video editing, motion graphic, audio processing, and media management initiatives, overseeing post process workflows on all multimedia projects and ensuring the quality and accessibility of all delivered and archived content. This role is responsible for delivering the best multimedia products possible, while fostering collaboration across departments to enhance storytelling and engagement. They contribute to and develop process documentation for future team members, as well as ideate and support the Social Media, Advancement, Programs, Education, and Curatorial &amp; Collections teams. Additionally, they drive innovation in media accessibility, content strategy, and archival processes, ensuring alignment with MOPOP&rsquo;s mission and media standards.<br>
 </div><div></div><p><b>Essential Job Duties (other duties as assigned)
</b></p><ul><li>Lead video edits, review, and delivery, across internal systems, delivering assets in required formats and specifications
</li><li>Support video edits and motion graphics produced by other AV Producers/Editors, Contractors, and content creators.
</li><li>Manage video post-production project timelines, tasks, and deliverables, ensuring efficient logistics with multimedia production requests
</li><li>Contribute to the building and maintaining of MOPOP&rsquo;s Digital Asset Management system with the upload, tagging, sharing, and reporting of multimedia assets
</li><li>Applies creative use of color, motion graphics, and special effects to video content, enhancing and aligning with the MOPOP brand.
</li><li>Upkeep Multimedia computer and equipment systems and report issues as they arise
</li><li>Foster cross-departmental communication, scheduling, and collaboration
</li><li>Maintains comprehensive documentation and training materials for the Multimedia team and Media Committee, enhancing workflows for individuals involved in video submissions and content creation.
</li><li>Reinforces post-production workflows by implementing and overseeing multimedia requests from all departments and integrating into Wrike for streamlined review and approval processes, ensuring consistent and efficient content delivery.
</li><li>Generate and develop content ideas for MOPOP&rsquo;s media platforms, including social media, web, and in-museum displays.
</li><li>Monitor and deliver internal and external video content for integrity, quality, and longevity, ensuring proper preservation on internal servers, archive tape media, and DAM system
</li><li>Log, digitize, duplicate, and archive MOPOP&rsquo;s media content at the highest quality standard.
</li><li>Lead video accessibility initiatives, ensuring compliance with accessibility standards across departments, while collaborating closely with MuTech and other media-related committees to meet museum content delivery and accessibility requirements.
</li><li>Foster a collaborative internal culture that supports MOPOP&rsquo;s mission and empowers staff.
</li><li>Commit to anti-racism work, engage in learning about institutional racism&rsquo;s workplace impact, and support operationalizing DEIA strategies within the department.
</li><li>Promote a culture of service excellence that extends to guests and staff.
</li>Maintain a consistent customer service standard across all departments.<br>
<li>
 </li></ul><p></p><p><b>MOPOP Community
</b></p><ul><li>Support our internal culture which inspires and empowers our staff to live our mission to its highest standards.
</li><li>Contribute to a consistent customer service standard across all departments.
</li>Work to ensure customer service is ingrained at the core of the team and is reflected outward to our guests and other staff.<br>
<li>
</li></ul><p></p><p><b>Preferred/Desired Qualifications
</b></p><ul><li>Lead video edits, review, and delivery, across internal systems, delivering assets in required formats and specifications
</li><li>Support video edits and motion graphics produced by other AV Producers/Editors, Contractors, and content creators.
</li><li>Manage video post-production project timelines, tasks, and deliverables, ensuring efficient logistics with multimedia production requests
</li><li>Contribute to the building and maintaining of MOPOP&rsquo;s Digital Asset Management system with the upload, tagging, sharing, and reporting of multimedia assets
</li><li>Applies creative use of color, motion graphics, and special effects to video content, enhancing and aligning with the MOPOP brand.
</li><li>Upkeep Multimedia computer and equipment systems and report issues as they arise
</li><li>Foster cross-departmental communication, scheduling, and collaboration
</li><li>Maintains comprehensive documentation and training materials for the Multimedia team and Media Committee, enhancing workflows for individuals involved in video submissions and content creation.
</li><li>Reinforces post-production workflows by implementing and overseeing multimedia requests from all departments and integrating into Wrike for streamlined review and approval processes, ensuring consistent and efficient content delivery.
</li><li>Generate and develop content ideas for MOPOP&rsquo;s media platforms, including social media, web, and in-museum displays.
</li><li>Monitor and deliver internal and external video content for integrity, quality, and longevity, ensuring proper preservation on internal servers, archive tape media, and DAM system
</li><li>Log, digitize, duplicate, and archive MOPOP&rsquo;s media content at the highest quality standard.
</li><li>Lead video accessibility initiatives, ensuring compliance with accessibility standards across departments, while collaborating closely with MuTech and other media-related committees to meet museum content delivery and accessibility requirements.
</li><li>Foster a collaborative internal culture that supports MOPOP&rsquo;s mission and empowers staff.
</li><li>Commit to anti-racism work, engage in learning about institutional racism&rsquo;s workplace impact, and support operationalizing DEIA strategies within the department.
</li><li>Promote a culture of service excellence that extends to guests and staff.
</li>Maintain a consistent customer service standard across all departments.<br>
<li>
</li></ul><p></p><p><b>Benefits
</b></p><p>This regular full-time position includes Medical/Vision insurance, Dental insurance, Life/AD&amp;D/LTD insurance, 3.08 hours of accrued Vacation per bi-weekly pay period, Seattle Sick/Safe, 7 Floating Holidays (prorated first year dependent on hire date), 8 Company Holidays paid throughout the year, EAP, 401k plan with vested match schedule once eligible, and subsidized transportation benefits for Orca Pass or parking.<br>
</p><p></p><p><b>Why MOPOP?
</b></p><p>We&rsquo;re really glad you&rsquo;re thinking about joining the team at MOPOP! We believe pop culture is a universal language capable of building connections across a range of people, no matter our differences in race, religion, gender, age, sexual orientation, ability, education, socio-economic status, ethnicity, country of origin, or any other characteristic that makes us who we are. For more than twenty years, we have been showcasing how music, film, fashion, video games, sports, and more spark those connections and create a lasting cultural impact.<br>
</p><p></p><p>MOPOP provides both a physical space and an emotional and intellectual opportunity for people from any background to explore, find and build community, and recognize their own creative potential. This applies not only to our guests, but also to our staff &mdash; be it in designing an educational program to engage the next generation of creators, trying to reach a new audience with a marketing initiative, preserving an artifact in our collection, or providing excellent customer service to a visitor. If this sounds like something you&rsquo;d be into, we&rsquo;d love to hear from you!<br>
</p><p></p><p><b>MOPOP&rsquo;s Mission and Commitment to Diversity, Equity, Inclusion, and Accessibility
</b></p><p>Our mission is to activate the world-shaping power of pop culture through participative experiences, discovery, and play. We believe pop culture connects us, and that it is powerful, complex, alive and who we are. MOPOP is actively committed to ongoing learning in the areas of diversity, equity, inclusion, and accessibility (DEIA). In partnership with our community, we hope to also develop safe spaces for their application. This includes taking steps to continue increasing our awareness of institutional &ldquo;-isms,&rdquo; as well as uncovering and undoing the ways they show up in museum culture. We recognize this is a process that requires intentionality, energy, and resources, and we are developing a DEIA framework that can cultivate a work environment and museum experience that is truly welcoming for all.<br>
</p><p></p><p>We are committed to creating an inclusive and equitable workplace, and we are proud to be an equal opportunity employer. We believe that having staff, interns, and volunteers with diverse backgrounds enables us to better meet our mission and encourage BIPOC, women, and LGBTQIA2S+ individuals to apply. We acknowledge that our work to build safe spaces and better systems for traditionally marginalized groups is ongoing and will require constant vigilance and expect all MOPOP employees to be part of our DEIA journey.<br>
</p><p></p><p>________________________________________
</p><p>Please email jobs@mopop.org if you need reasonable accommodations during the application or hiring process.</p></div>
<br><div><p><b>Don't meet every single requirement?
</b></p><p>Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At MOPOP, we are dedicated to building a diverse and inclusive workplace. If you are excited about a role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the candidate we are looking for!</p></div>

Post-Production Specialist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS is one of Amazon&rsquo;s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.<br>
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AWS Central Economics &amp; Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data-driven insights and modeling, ACES supports strategic decision-making across the AWS global organization, including sales operations and business performance optimization.
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The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion.<br>
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Key job responsibilities<br>
<ul><li>Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions</li><li>Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems</li><li>Stakeholder Collaboration: Work with business stakeholders to understand requirements, validate approaches, and ensure practical applicability of scientific solutions</li><li>Scientific Rigor: Promote findings at internal conferences and contribute to the team's reputation for methodological excellence</li></ul><br>
A day in the life<br>
The ACES Sales Channels team works on understanding and optimizing AWS's sales channels, both direct (generalist and specialist sellers) and indirect (partners and Marketplace). Our work falls into three core areas: developing rigorous causal measurement and modeling frameworks using cutting-edge economics and statistical methods; designing programs and incentives to improve customer and business outcomes; and building ML-based recommendation systems for sellers, partners, and other AWS stakeholders.<br>
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About the team<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
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Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
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Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
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Hybrid Work<br>
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually<br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, AWS Central Economics and Science

Explore 131+ Applied scientist prime video content localization understanding enrichment in Seattle this April. Find roles across top companies and apply now to boost your career.