Video Producer jobs in United States, California, Sunnyvale

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 Recommendation/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.

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 ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Stay up-to-date with advancements and the latest modeling techniques in the field
- Publish your research findings in top conferences and journals
A day in the life

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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

Key job responsibilities
• Provide Infrastructure support of incoming system tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services.
• Work on maintenance driven coding projects, primarily in Java and AWS technologies.
• Software deployment support in staging and production environments.
• Develop tools to aid operations and maintenance.
• System and Support status reporting.
• Ownership of one or more Digital products or components.
• Improve the infrastructure, operational performance, and stability.
• Participate in designs, code and procedures reviews.
• Identify opportunities arising from technical discussions and do the technical trade-offs.
• Troubleshoot, research root causes thoroughly resolve defects.
• Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure.
• Keep the compliance risks for internal systems under control.
• Drive large scale projects such as migration to native, pipeline automation and drive it to closure.

- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

- Experience with CI/CD pipelines build processes

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 ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Stay up-to-date with advancements and the latest modeling techniques in the field
- Publish your research findings in top conferences and journals
A day in the life

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building models for business application experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software developmentPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 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 building machine learning models or developing algorithms for business application

- Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
- Experience in search, advertising, recommendation systems or related domains;

AWS インフラストラクチャサービス (AIS)AWS インフラストラクチャサービスは、AWS のグローバル インフラストラクチャ全体の設計、計画、提供、運用を担当しています。つまり、クラウドを安定的に稼働させ続けるのが私たちの役割です。AWS のデータセンター、サーバー、ストレージ、ネットワーク、電力、冷却装置など、すべてのインフラを包括的にサポートし、お客様が必要とするイノベーションへの継続的なアクセスを確保しています。私たちは、サプライチェーンに影響を及ぼす数千もの変数を含む複雑な課題に日々取り組んでおり、この挑戦に共に立ち向かう優秀な人材を求めています。AWS Infrastructure Services (AIS)
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.アマゾン ウェブ サービス (AWS) は急速な成長を続けており、拡大するインフラストラクチャ運用チームの一員として、データセンター エンジニアを募集しています。Key job responsibilities
In this role as a Data Center Engineer, you will be responsible for the on-site management of hardware lifecycle of our IT infrastructure that includes:
● Working as part of the Operations team; whose primary responsibility is the maintenance and upkeep of the data center infrastructure.
● Your role and responsibilities include, but are not limited to, installing server racks, removing server racks, fixing various IT hardware and network components, and also responding to emergent situations that affect operations.
● Meet customer service level agreements by resolving problems, and be the first line touch point for hardware troubleshooting and technical issues.
● Perform on-call duties and participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
● Participate in team meetings for metric analysis and to discuss achieving daily/weekly goals.
● Have the knowledge of the policies and procedures, including safety and security, within your department, and understand the appropriate application of such knowledge.
● Contribute to documentation on technical issues through root cause analysis for operational issues that occur, and contribute to process improvement initiatives relevant to the data center environment.
● More experienced engineers may assist in training less experienced members of the team.* オペレーションチームの一員として、データセンターインフラの保守・維持を主な責務とします。
* 業務内容には、サーバーラックの設置・撤去、各種ITハードウェアやネットワーク機器の修理、運用に影響を及ぼす緊急事態への対応などが含まれます。
* 顧客とのサービスレベル契約を遵守し、ハードウェアのトラブルシューティングや技術的課題に関する第一次対応窓口を担当します。
* オンコール対応を行い、データセンター運用に携わるとともに、定期メンテナンスや変更管理作業を通じてインフラの監視を実施します。
* メトリクス分析および日次・週次目標の進捗確認のためのチームミーティングに参加します。
* 部門内の安全性やセキュリティを含むポリシーと手順を理解し、適切に実践します。
* 運用上の問題に対する根本原因分析を通じて技術文書の作成に携わり、データセンター環境の改善施策に貢献します。
* 経験豊富なエンジニアは、必要に応じて経験の浅いチームメンバーの指導を行います。A day in the life
● You will support Data Center infrastructure equipment (e.g. racks, servers, networking devices, hardware components, cables, etc.)
● You will follow the instructions ticket-based environment and work on systematic problem resolution and perform routine operation activities on hardware, or spare parts, including installing and removing server racks and fixing server hardware.
● You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
● Show a strong aptitude for troubleshooting and problem solving.
● You will be involved with site management and maintain tidiness in operation areas.
● Work in a rotating shift with a team of other engineers. Your standard shift hours are 10 hours with a one hour break. You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 22:45-08:15.* データセンターのインフラ機器（ラック、サーバー、ネットワーク機器、ハードウェア部品、ケーブル等）の保守管理を行います。
* チケットシステムに基づき、サーバーラックの設置・撤去やサーバーハードウェアの修理など、ハードウェアや部品の日常的な運用作業を体系的に実施します。
* オンコール対応を含め、データセンターの運用に携わり、定期メンテナンスや変更管理作業におけるインフラ監視を行います。
* 高度なトラブルシューティングと問題解決能力を発揮します。
* サイト管理に参画し、運用エリアの5S（整理・整頓・清掃・清潔・躾）を徹底します。
* 他のエンジニアチームと交代制シフトで勤務します。シフトは1日10時間（休憩1時間含む）、週4日勤務・週3日休みの体制です。勤務時間帯は8:00～18:00、12:00～22:00、22:45～08:15のいずれかとなります。About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
AWS が選ばれる理由
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

● No experience in data centers is necessary, only a desire to learn. We provide all of the training.● Ability to work non-standard hours such as 10 hour shift with 1 hour break (You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 21:45-08:15.● データセンターでの経験は不問です。学ぶ意欲のある方を歓迎します。必要な研修は全て当社で実施いたします。● 変則的な勤務時間に対応可能な方（10時間勤務・1時間休憩、週4日勤務・週3日休み） 勤務シフト：8:00～18:00、12:00～22:00、21:45～08:15

● 1+ year of networking, server, other IT experience.● IT分野（ネットワーク、サーバー管理など）での実務経験が1年以上ある方

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 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.