vmal/jobs_dataset huggingface dataset:
{"title": "Distinguished Engineer, Advanced Data Analytics, Google Cloud", "level": "Advanced", "location": "Sunnyvale, CA, USA", "description": "In this role, you will define the long-term technical and innovation strategy for Data Analytics and bring your point of view on technology leadership, research, and industry trends. You will employ a hybrid approach of direct technical guidance, mentorship, high-level consulting, and risk/growth management. You will also collaborate with the Data Analytics leadership team. Google Cloud accelerates organizations\u2019 ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google\u2019s cutting-edge technology \u2013 all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.", "key_qualifications": "Bachelor\u2019s degree in Computer Science, Engineering, a similar technical field of study, or equivalent practical experience\n15 years of professional software engineering experience\nExperience in analytics, including generative AI, responsible AI and real time data processing", "preferred_qualifications": "Experience as a thought leader in data analytics and AI/ML, and experience in technology innovation\nExperience in AI/ML quality evaluation and improvement, including managing tuning techniques with cost/benefit tradeoffs\nAbility to promote product excellence and collaboration driving a portfolio of concurrent engineering projects (e.g., short-term critical feature launches to long-term research initiatives)\nPassionate about delighting enterprise customers, with an excellent understanding of enterprise workloads", "responsibilities": "Co-lead the technology and innovation strategy for Data Analytics with a focus on Generative AI, Machine Learning and their connection to big data, realtime data, and Business Intelligence (BI) systems.\nAssess long-term technological investments, and calibrate opportunities against each other and available bandwidth.", "company": "google"}
{"title": "Silicon Engineer, System Level Testing Volume Ramp, Silicon", "level": "Mid", "location": "New Taipei, Banqiao District, New Taipei City, Taiwan", "description": "Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.\nAs a member of the Google Tensor team, you will enable the system level testing methodology for volume ramp. You will contribute to test planning, integration, stabilization, and debugging on a variety of post-silicon platforms. You will collaborate with many IP teams to support the Product Development and Test Engineering (PDTE) team on volume ramp tasks. You will build a deep understanding of the post-silicon characterization and use it to improve the factory yield.\nGoogle's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.", "salary": "", "key_qualifications": "Bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience. 3 years of experience in silicon bring-up or validation, debugging post-silicon issues and developing silicon tests. Experience programming in C.", "preferred_qualifications": "Master's degree or PhD in Computer Science, Electrical Engineering, or related domains. Experience with embedded software development and related toolchains, or software debug tools (e.g. GDB) and hardware debug tools (e.g. JTAG/TRACE32). Experience with Android, Embedded Linux, RTOS, or bare metal software. Experience with Python programming. Experience in factory testing.", "responsibilities": "Contribute to test planning, test development/stabilization, and error debugging to support the silicon volume ramp at the system level. Support the PDTE team on silicon volume ramp tasks. Collaborate with Design and Validation leads to support the system level testing platform. Collaborate with internal test engineers and partner engineers on screening parts and debugging RMAs. Collect the post-silicon characterization data to improve the production quality and yield.", "company": "google"}
{"title": "Tech Lead, Software Engineering, Black Community Inclusion", "level": "Advanced", "location": "S\u00e3o Paulo, State of S\u00e3o Paulo, Brazil; Belo Horizonte, State of Minas Gerais, Brazil", "description": "Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google\u2019s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\n\nGoogle is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.", "salary": "", "key_qualifications": "Bachelor's degree in Computer Science, related field, or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Ability to communicate in English and Portuguese fluently.", "preferred_qualifications": "4 years of experience in a technical leadership role. 2 years of experience managing teams of software engineers. Experience designing and implementing any of the following: large-scale distributed systems, APIs used by other developers, Search Ranking systems, ML (Machine Learning) systems.", "responsibilities": "Design, develop, test, deploy, maintain, and improve software. Research, conceive, and develop software applications to extend and improve on Google's product offering. Collaborate on scalability issues involving access to data and information. Manage individual and team priorities, deadlines, and deliverables.", "company": "google"}
{"title": "Senior Research Scientist, Google Research", "level": "Mid", "location": "Mountain View, CA, USA", "description": "As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we\u2019re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.", "salary": "$161,000-$239,000 + bonus + equity + benefits", "key_qualifications": "PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. One or more scientific publication submission(s) for conferences, journals, or public repositories.", "preferred_qualifications": "2 years of coding experience. 1 year of experience leading research efforts and influencing other researchers.", "responsibilities": "Author research papers to share and generate impact of research results across function and in the research community. Help in growing research business by sharing research trends and best practices within the community. Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.", "company": "google"}
{"title": "Contact Center AI Sales Specialist III, Google Cloud", "level": "Advanced", "location": "Sunnyvale, CA, USA; Atlanta, GA, USA", "description": "As a CCAI Sales Specialist, you will be responsible for growing our Contact Center AI (CCAI) and Contact Center as a Service (CCaaS) business by building and expanding relationships with new and existing customers. Google Cloud accelerates every organization\u2019s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google\u2019s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.", "key_qualifications": "Bachelor's degree or equivalent practical experience. 10 years of experience in a sales role in the enterprise software, cloud, or AI space. Experience identifying Contact Center as a Service (CCaaS) use cases to solve customer challenges or selling Customer Experience (CX) technology to clients. Experience engaging with, presenting to, and building relationships with executive leaders.", "preferred_qualifications": "Experience promoting the Contact Center AI (CCAI), Generative AI and AI technology stack. Experience working with cross-functional teams, including Product, Field Sales, Customer Engineering, Solution Architects to build business cases for transformation and accompanying plans for implementation. Experience with contact center technologies and platforms (e.g., Avaya, Genesys, Cisco, Mitel, Twilio, etc.). Experience working with and managing partners in complex implementation projects, including global system integrators and packaged software vendors. Understanding of regional, local, and industry data privacy and security rules and regulations. Ability to engage and influence executive stakeholders as a business advisor and thought leader in AI.", "responsibilities": "Build and maintain executive relationships with customers as the Contact Center AI (CCAI) Subject Matter Expert, manage complex business cycles, identify suitable use cases for Google Cloud solutions, and influence the long-term strategic direction of your accounts. Manage objectives and key results to deliver against quota and achieve or exceed strategic business and growth goals while accurately forecasting and reporting the state of the business for the assigned territory. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, and Channels) to develop go-to-market strategies, drive pipeline, understand the customer, and provide excellence prospect and customer experience. Assist customers in identifying CCAI and AI/GenAI use cases suitable for Google Cloud AI products and solutions. Articulate key solution differentiators and the measurable business impact.", "company": "google"}
title: Software Engineer III, Google Cloud Global Networking
level: Mid
location: Atlanta, GA, USA
description: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale...
key_qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree...
preferred_qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering.
responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies...
company: google
{"title": "Senior Security Engineer, Google Cloud Business Platforms", "level": "Mid", "location": "Bengaluru, Karnataka, India; Hyderabad, Telangana, India", "description": "Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. Google Cloud accelerates every organization\u2019s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google\u2019s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.", "key_qualifications": "Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in security analysis and security assessment.", "preferred_qualifications": "Master's degree or PhD in Distributed Systems, Database Systems, or Cybersecurity. Experience leading Software Engineering teams either with direct or indirect/matrix reporting. Knowledge of public and private cloud infrastructure, distributed systems, and scalable, performant data systems. Knowledge of software development practices, including cloud security domain. Ability to design, develop, and operate cloud services and solutions.", "responsibilities": "Drive analysis of the architecture, design, and implementation of systems to ensure they meet security and compliance requirements. Provide security expertise and guidance to a diverse set of Google Engineering and Business teams. Conduct security reviews of core corporate and production systems. Drive enterprise focused security improvements to Google products and services. Build security tools and processes.", "company": "google"}
title: Marketing Generative AI Specialist, Acquisitions, Ads Marketing
location: London, UK
description: As a Creative in Marketing, you bring visual, design, written and experiential acumen to Google products and services, presented across all major media, content, channels, and experiences. You have the ability to perform your role in a flexible, ever-changing environment and must be open to new influences and inspiration...
key_qualifications: Experience in project management.
Experience with AI products, technologies, and infrastructure.
Experience with Large Language Models (LLMs) (e.g., prompt engineering solutioning using APIs).
preferred_qualifications: Experience in Marketing.
Ability to design, develop, and manage dynamic Cloud solutions.
Ability to learn, understand, and work with emerging technologies, methodologies, and Cloud-based solutions.
Excellent attention to detail skills.
responsibilities: Launch and measure AI powered experiments across our marketing channels (e.g., paid media, scaled communications, web) to acquire thousands of advertisers each year, creating efficient and effective user journeys to increase customer acquisitions, product adoption, and overall business...
...
company: google
{"title": "AI Sales Specialist III, Google Cloud", "level": "Advanced", "location": "Munich, Germany; Hamburg, Germany; Berlin, Germany; Frankfurt, Germany", "description": "As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply the impact of the team. You will partner with Google Cloud Platform (GCP) sales teams to grow their AI businesses and drive the overall value for GCP.\nGoogle Cloud accelerates every organization\u2019s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google\u2019s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.", "salary": "", "key_qualifications": "Bachelor's degree or equivalent practical experience. 10 years of experience promoting IT business solutions and executing a territory sales strategy. Experience identifying and driving use cases to solve customer issues. Experience partnering with technical staff to build business cases and implementation plans.", "preferred_qualifications": "Experience working with and managing partners in complex implementation projects, including global system integrators and packaged software vendors. Experience in promoting the AI technology stack. Experience working with product teams with an understanding of how to embed technology into the product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.", "responsibilities": "Calibrate the business against the objectives and key results. Forecast and report the state of the business for the territory. Build and maintain executive relationships with customers as the AI Subject Matter Expert, influence long-term strategic direction for the new and existing customers as well as the Google Cloud Field Sales Representatives (FSRs) and Customer Engineers (CEs). Assist customers in identifying AI use cases suitable for Google Cloud AI products and solutions. Articulate key solution differentiators and the measurable business impact. Develop and execute strategic account plans, including a broader enterprise plan across key verticals. Work with Google Account and Technical teams to develop and drive pipelines, and provide expertise. Execute Go-To-Market (GTM) business plays and related efforts with the Cloud teams and GCP partners.", "company": "google"}
title: Insights and Analytics Lead, Extended Workforce Solutions
level: Mid
location: Hyderabad, Telangana, India
description: Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
key_qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in analytics, insights development, or strategy consulting. Experience designing, developing, and maintaining SQL scripts, tables, dashboards, and data sets.
preferred_qualifications: Master's degree in Statistics/Biostatistics, Economy, Operations Research, Physics, Mathematics, Computer Science, a related field, or equivalent practical experience. Experience in publishing data based insights to support a strategic business decision. Ability to collaborate and influence cross-functional teams with excellent communication skills. Ability to craft engaging and compelling narratives in communications for customers.
responsibilities: Create data driven solutions to solve open-ended business problems. Manage outsourced vendor operations to deliver solution. Develop automated dashboards and analyses using unstructured data to identify gaps in business processes or strategy. Synthesize data to recommend actionable solution to improve data quality, system feature, or business process. Collaborate across multiple internal stakeholders for clarifying requirements, developing analytics solutions, and driving usage.
company: google