Content Writer jobs in United States, California, Sunnyvale
Google Senior Software Engineer User Generated Content United States, California, Sunnyvale
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- Bachelor's degree in Electrical Engineering, a related discipline, or equivalent practical experience.
- 8 years of experience at a company developing supply chains in manufacturing and test.
- Experience working with ODMs, contract manufacturers, and component suppliers for hardware in the data center networking topology.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related field.
- 8 years of experience at a company developing supply chains for data center infrastructure equipment.
- Experience with high-speed optical and copper network infrastructure design and testing methodologies including ethernet, serial bus interfaces, transceivers, or BERT.
- Experience in working with contract manufacturers and suppliers to drive root cause.
- Experience with Python/SQL scripting.
- Understanding of CMOS devices, fabrication processes, ATE test, DFT, quality, and reliability.
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Amazon Sr Front-End Engineer Prime Video - Content Data Platform United States, California, Sunnyvale
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Technical Requirements: • Expert-level experience with modern frontend technologies (React, TypeScript, CSS-in-JS) • Strong understanding of frontend performance optimization and scalability • Experience with state management, component architecture, and micro-frontend approaches • Knowledge of modern build systems, testing frameworks, and CI/CD pipelines • Understanding of server-side rendering and progressive enhancement • Experience with responsive design and cross-platform compatibility
Technical Requirements: • Expert-level experience with modern frontend technologies (React, TypeScript, CSS-in-JS) • Strong understanding of frontend performance optimization and scalability • Experience with state management, component architecture, and micro-frontend approaches • Knowledge of modern build systems, testing frameworks, and CI/CD pipelines • Understanding of server-side rendering and progressive enhancement • Experience with responsive design and cross-platform compatibilityKey job responsibilities
• Drive strategic decision-making on critical UI feature development, from design through implementation to deployment• Design and implement scalable, reusable frontend components for multiple applications while solving complex UI challenges• Lead technical decisions around frontend architecture, including framework selection, build systems, and rendering strategies• Collaborate with cross-functional leads including UX designers, product managers to create intuitive, high-performance user experiences• Collaborate with world-class engineering and science teams to deliver GenAI powered initiatives• Mentor other frontend engineers and establish development best practices while fostering a frontend engineering community• Maintain and raise the technical bar across all frontend development• Drive consumer-facing impact at global scale while balancing technical excellence with user experienceA day in the life
As a Frontend Engineer in the Content and Data Platform org, you'll tackle complex UI challenges at massive scale. You'll collaborate with cross-functional teams to build features that help internal customer to improve their daily operations with GenAI technologies and eventually benefit the customers discover and access content across different devices and platforms. You'll be responsible for delivering working frontend systems that are performant, maintainable, and secure, while managing ambiguity in a fast-paced environment where development cycles are measured in weeks, not quarters.
- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)
Preferred Qualifications
- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.
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Amazon Senior Applied Scientist Prime Video - Content Generation Te... United States, California, Sunnyvale
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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 team member, 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 a Senior Applied Scientist on this team, you will:
• Be the technical leader in machine learning; lead efforts within this team and across other teams.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase customer engagement and monetization.
• Drive end-to-end machine learning projects that have a high degree of ambiguity, scale, complexity.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with product managers and engineers to assist in productionizing your models.
• Run experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new and innovative machine learning approaches.
• Recruit scientists to the team and provide mentorship.
• Share knowledge and research outcomes via internal and external conferences and journal publicationsA day in the life
In this role, you will invent science and systems for content localization, generation, including graphics and machine learning-based modeling systems. You will work with a team of scientists and product managers to design customer-facing products, and you will work with technology teams to productize and maintain the associated solutions.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Preferred Qualifications
- Publications at top-tier peer-reviewed conferences or journals in one of those areas (computer vision, graphics, machine learning)
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Amazon Applied Scientist Prime Video - Content Generation Team United States, California, Sunnyvale
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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 team member, 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 at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, natural language processing (NLP), multimedia understanding and so on. You’ll work on diverse projects that enhance Prime Video’s content localization, content generation, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:• Lead research in computer vision and natural language processing, applying it to video-centric media challenges.
• Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.
• Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.
• Actively participate in publishing your research in leading conferences and journals.
• Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.
- 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
PREFERRED QUALIFICATIONS
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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Google Software Engineering Manager Search Content Platform United States, California, Sunnyvale
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- Bachelor's degree in Electrical, Mechanical, or Quality Engineering, or equivalent practical experience.
- 10 years of experience in manufacturing, quality, reliability or product engineering.
- 8 years of experience in people management.
Preferred qualifications:
- Master's degree in Engineering (e.g., Quality, Electrical, Mechanical) or equivalent practical experience.
- Experience with high-volume and high-reliability hardware in industries such as servers, automotive, or aerospace.
- Experience in thermal management such as liquid cooling.
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Google Policy Specialist Legal Content Standards Japanese English United States, California, Sunnyvale
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- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience developing large-scale infrastructure, distributed systems or machine learning, or experience with compute technologies, or hardware architecture.
- Experience with Software Engineering, Machine Learning and Machine Learning Infrastructure.
Preferred qualifications:
- 5 years of experience with data structures or algorithms.
- 3 years of experience programming in C++ and Go.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
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Google Content AI Compliance Specialist RCI United States, California, Sunnyvale
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- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with design and architecture, and testing/launching software products.
Preferred qualifications:
- Experience with Machine Learning, Distributed Computing, Build Infrastructure, and Cluster Management.
- Experience with C++, Python, Machine Learning Infrastructure, Compilers, Computer Architecture, Debugging, etc.
- Experience in a technical leadership role, with the ability to lead complex, cross-functional engineering projects from conception to completion.
These jobs might be a good fit
Share
- Bachelor's degree in Electrical Engineering, a related discipline, or equivalent practical experience.
- 8 years of experience at a company developing supply chains in manufacturing and test.
- Experience working with ODMs, contract manufacturers, and component suppliers for hardware in the data center networking topology.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related field.
- 8 years of experience at a company developing supply chains for data center infrastructure equipment.
- Experience with high-speed optical and copper network infrastructure design and testing methodologies including ethernet, serial bus interfaces, transceivers, or BERT.
- Experience in working with contract manufacturers and suppliers to drive root cause.
- Experience with Python/SQL scripting.
- Understanding of CMOS devices, fabrication processes, ATE test, DFT, quality, and reliability.
These jobs might be a good fit
