Prime Video Content Discovery Automation jobs at Amazon in United States, New York

Key job responsibilities
- Originating content partner relationships
- Acquiring new channels

- Bachelor's degree
- 5+ years of professional or military experience
- 5+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience in the entertainment industry
- Experience managing partner relationships

- 6+ years of developing, negotiating and executing business agreements experience
- Experience interpreting data and making business recommendations

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 – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, 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.
As a Prime Video technologist, you’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’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.As a Senior Manager, ML Infrastructure, you will lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale. You will bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions. Your technical leadership will shape the future of AI/ML across Prime Video, unlocking generative and predictive models that personalize content for hundreds of millions of viewers worldwide.Your day will involve partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists. With your deep expertise in machine learning infrastructure and and distributed systems, you'll ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience partnering with product or program management teams
- Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams

- Experience designing and developing large scale, high-traffic applications
- Bachelor's degree in computer science, computer engineering, or related technical field
- Experience with AWS infrastructure and services

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 – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, 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.As a Prime Video technologist, you’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’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
Key job responsibilities
As an Applied Scientist, your day-to-day responsibilities will include:Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision.Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team.Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team.
As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

- Experience using Unix/Linux
- Experience in professional software development

ABOUT THIS ROLE
As a Business Intelligence Engineer within the Content Analytics team at Audible, you'll serve as a data-driven decision enabler for our senior Content leadership team. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives that anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions.ABOUT YOU
You're a data storyteller who balances technical expertise with strong business acumen. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences.As a Business Intelligence Engineer, you will...- Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis
- Communicate findings and insights to stakeholders in a clear, concise, and actionable manner
- Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions
- Serve as a data governance advocate, ensuring consistency in metrics definitions and data qualityABOUT AUDIBLE

- Experience with data visualization using Tableau, Quicksight, or similar tools
- 3+ years equivalent relevant experience in a data driven/analytical role or 2+ years with an advanced/technical degree in Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field
- Experience with data/analytical tools including Excel, Tableau, and querying relational databases, e.g., SQL and Python
- Experience building relationships and runnning projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo)

Key job responsibilities
- Establish, manage, and grow strong senior-level relationships/partnerships with content providers
- Analyze partner performance to create partner-facing strategy presentations featuring data-driven recommendations, actionable insights and growth opportunities- Execute new deals and renewals, including negotiation, financial analysis, forecasting, technical requirements, and cross-department signoffsAbout the team
Prime Video Subscriptions, launched in 2015, allows Prime Video customers to subscribe to channels like HBO Max, Paramount+ Peacock, Apple TV, Starz, and Fox One, all without a cable subscription.

- Bachelor's degree
- 5+ years of professional or military experience
- 5+ years of developing, negotiating and executing business agreements experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience in the entertainment industry
- Experience building and growing relationships with internal and external partners

- 6+ years of developing, negotiating and executing business agreements experience
- Experience interpreting data and making business recommendations

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 – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, 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.As a Prime Video technologist, you’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’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
- Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;- Stay up-to-date with advancements and the latest modeling techniques in the field;
- Publish your research findings in top conferences and journals.

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Come join us to accelerate deep learning networks on Az1/Az2/Az3 Neural Edge processors and beyond. We deliver solutions to offload Speech, Computer Vision and Generative AI workloads on a range of devices from Blink Smart Home camera to Echo Show line of products.In this role you will lead a team working alongside partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also drive partnerships with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware, ensuring scalability across current and future generations of ML accelerator architectures.
Key job responsibilities· Drive technical vision and strategy for the deep learning compiler stack
·. Manage project planning, execution, and delivery of compiler solutions
· Build and maintain strong partnerships with hardware, software, applied science and product teams
·. Develop and mentor team members, manage performance, and drive career growth
· Drive hiring and team building initiatives
· Architect and oversee development of software stack for deep learning accelerator
· Lead design reviews, API development, and documentation efforts
· Ensure successful delivery of deep learning workloads on heterogeneous device backends

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience with neural network inference offload to GPU, DSP or custom accelerators

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience building and leading compiler development teams
- Experience managing teams working on application specific accelerators or custom instruction sets