vmal/jobs_dataset huggingface dataset:
{"title": "AI/ML Engineer, Google Cloud", "level": "Mid", "location": "Reston, VA, USA; Washington D.C., DC, USA", "description": "As a Cloud Artificial Intelligence/Machine Learning (AI/ML) Engineer, you will guide governments, universities, and other public sector customers on how to configure and deploy their virtual agents and machine learning solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You will consult with customers on how to best design their conversational AI and machine learning solutions including intent development, CI/CD, pipeline design, and training and evaluation of Machine Learning models. You will travel to customer sites up to 30% of the time to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features.", "key_qualifications": "Bachelor\u2019s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 6 years of experience working with machine learning or deep learning systems. 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience in technical troubleshooting, and managing internal/external partners or customers. Active US Government Top Secret/Sensitive Compartmented Information (TS/SC) Security Clearance.", "preferred_qualifications": "Experience in optimizing Large Language Models (LLMs) leveraging RAG/retrieval augmented generation architectures and fine-tuning techniques. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with data analytics, data visualization techniques, and software. Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost). Experience with web standards (e.g., REST APIs, and web security mechanisms). Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.", "responsibilities": "Serve as a trusted technical advisor to customers and solve complex Machine Learning problems. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production. Coach customers on the practical challenges in Machine Learning systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.", "company": "google"}
{"title": "Program Manager, FIA Operations and Controls", "level": "Mid", "location": "Dublin, Ireland", "description": "A problem isn\u2019t truly solved until it\u2019s solved for all. That\u2019s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you\u2019ll lead complex, multi-disciplinary projects from start to finish \u2014 working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.\n\nOur goal is to build a Google that looks like the world around us \u2014 and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.\n\nThe Field Integration Assembly (FIA) team is transforming data center construction. We streamline data center delivery and collaborate with the broader Data Center Delivery and Engineering (DCDE) team to ensure a seamless integration of our pre-assembled components into exceptional, hyper-efficient data center facilities. By leveraging standardization, using digital tools, optimizing processes, and industrializing techniques, we transition from traditional building methods to efficient manufacturing and assembly. We enable Google's product portfolio, from developing and maintaining data centers to building the next generation of Google platforms.", "salary": "", "key_qualifications": "Bachelor's degree in a technical field (e.g. Construction Economics) or equivalent practical experience. 2 years of experience managing technical programs or projects. Experience with the principles of planning and scheduling, including experience with Primavera P6. Experience with manufacturing design and data analytics.", "preferred_qualifications": "5 years of experience in the construction of high tech facilities with responsibility for project control scope. Experience in performance, cost, and project reporting. Experience in performance data analytics and work package analysis. Proficiency with Primavera P6 software.", "responsibilities": "Collaborate with Google Data Centers (GDC) teams to analyze installation work packages and Field Integration Assembly (FIA) DFMA data, optimizing construction efficiency through data-driven insights. Conduct in-depth analysis to identify critical dependencies, risks, and potential efficiency gains within project schedules and budgets. Drive continuous improvement in project controls, using data analysis to enhance scheduling accuracy and cost management. Support Project Managers with data-driven insights and reporting tools to implement effective project controls. Develop, track, and report on key metrics to measure project performance related to installation processes and FIA DFMA products.", "company": "google"}
{"title": "App and Measurement Specialist, Large Customer Sales", "level": "Mid", "location": "Shanghai, China", "description": "Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users. Our Large Customer Sales teams partner closely with many of the world\u2019s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird\u2019s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.", "key_qualifications": "Bachelor's degree or equivalent practical experience. 5 years of experience with measurement platforms, analytics, and attribution modeling. Ability to communicate in English and Mandarin fluently to support client relationship management in this region.", "preferred_qualifications": "Knowledge of measurement tools such as incrementality, attribution, or brand measurement. Knowledge of Appsflyer, Firebase or other App measurement tools. Understanding of the digital ad ecosystem and the impact of recent privacy changes in the industry (e.g., regulatory and technology). Understanding of data collection, integration, and activation in media platforms and privacy implications (e.g., website analytics, CRM onboarding, conversion tracking and import, audience management, consent management).", "responsibilities": "Lead measurement and privacy efforts in the Large Customer Sales team. Consult with advertisers and agency partners to understand their measurement goals and assess how Google measurement and privacy solutions can effectively address their needs. Partner with pods, gTech, and specialists to drive adoption of measurement and privacy solutions (e.g., GA4, OGT, Consent Mode, Enhanced Conversions, SKAN, etc.) and convince advertiser stakeholders to apply learnings, insights, and recommended actions. Build business cases for feature requests, controlling roadmap around Privacy features (e.g., modeled conversions, AC on iOS, etc.) and measurement solutions (e.g., Conversion Lift, GA4, etc.) and provide feedback loop to regional and global product leads in the area of Privacy. Enable clients and partners to increase efficiency and effectiveness of their Ad campaigns by integrating relevant first-party data-based conversions or audiences.", "company": "google"}
{"title": "Research Scientist, Quantum", "level": "Mid", "location": "Goleta, 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. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.", "key_qualifications": "PhD degree in Computer Science, a related field, or equivalent practical experience. One or more scientific publication submission(s) for conferences, journals, or public repositories. Coding experience in Python, JavaScript, R, Java, or C++.", "preferred_qualifications": "2 years of coding experience in Python, JavaScript, R, Java, or C++. 1 year of experience owning and initiating research agendas.", "responsibilities": "Author research papers to share and generate impact of research results across the team and in the research community. Help in growing research business across teams by sharing research trends and best practices within the community. Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. 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 with some guidance. Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.", "company": "google"}
title: Customer Engineer II, Data Analytics, Google Cloud
level: Mid
location: San Francisco, CA, USA; Irvine, CA, USA
description: When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer.
key_qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience with Big Data technologies or concepts. Experience engaging with technical stakeholders and executive leaders.
preferred_qualifications: Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems. Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing, data migrations, data visualization tools, and data governance on cloud native architectures. Experience in technical sales or consulting in cloud computing, data analytics, or Big Data. Experience with aspects of cloud computing, market dynamics, and customer buying behavior. Experience in understanding customer requirements.
responsibilities: Work with the team to identify business opportunities, understand customer objections, and develop strategies. Share data analytics knowledge to support the technical relationship with customers. Identify business and technical requirements, conduct technical discovery, and architect client solutions. Demonstrate and prototype integrations with Google Cloud products. Deliver business messaging highlighting the Google Cloud value proposition.
company: google
{"title": "Account Manager, Home Products and Consumer Goods (English, Japanese)", "level": "Early", "location": "Tokyo, Japan", "description": "Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.\n\nOur Large Customer Sales teams partner closely with many of the world\u2019s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird\u2019s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.", "salary": "", "key_qualifications": "Bachelor's degree or equivalent practical experience.\n2 years of experience in advertising, consultative sales, business development, online media environment, or marketing role.\nAbility to communicate in English and Japanese fluently in order to interact with internal and external stakeholders.", "preferred_qualifications": "Experience in online ad sales, business development, marketing, or consulting sales.\nExperience in Google Ads account management.\nAbility to deliver results under pressure and show dedication to client services.\nExcellent leadership, organization, investigative, problem-solving, communication, people management, and teamwork skills.", "responsibilities": "Develop and manage relationships directly with advertisers in Japan.\nGrow existing business, develop and win new business with global and domestic clients, and support the team with account and market knowledge and other collateral.\nBe an advisor and consultant, as well as an advocate for clients within Google.", "company": "google"}
title: Senior Software Engineer, Machine Learning, Google Assistant
level: Mid
location: Mountain View, CA, USA; New York, NY, 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.
key_qualifications: - Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing.
preferred_qualifications: - Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
responsibilities: - Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
company: google
{"title": "Software Engineer III, Infrastructure, Google Kubernetes Engine", "level": "Mid", "location": "Sunnyvale, CA, USA", "description": "Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. In this role, you will provide the most reliable, scalable, and seamlessly managed Kubernetes platform to empower large-scale workload worldwide. You will ensure smooth Kubernetes upgrades and drive innovation in cluster management.", "salary": "$136,000-$200,000 + bonus + equity + benefits", "key_qualifications": "Bachelor\u2019s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., Go, Java or C++), and with data structures/algorithms. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 1 year of experience with Kubernetes.", "preferred_qualifications": "Master's degree or PhD in Computer Science, or a related technical field. 3 years of experience in building or managing distributed systems or cloud infrastructure, focusing on Kubernetes. Ability to contribute to Kubernetes or other open-source projects. Excellent communication and people management skills.", "responsibilities": "Design, develop, and maintain the systems responsible for large-scale, automated Kubernetes upgrades across Google Kubernetes Engines (GKEs) vast customer base. Prioritize safeguarding cluster stability during upgrades, develop proactive monitoring, and create robust rollback strategies in the event of unexpected issues. Work closely with the open-source Kubernetes community to track upstream changes, contribute patches, and integrate new features strategically into GKE. Implement testing frameworks to ensure the integrity and compatibility of Kubernetes upgrades at scale. Partner with cross-functional teams to manage upgrade lifecycles, troubleshoot complex issues, and optimize for customer experience.", "company": "google"}
title: Software Engineer III, Infrastructure, Commerce
level: Mid
location: Mountain View, CA, 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.
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 in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage or hardware architecture.
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. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
company: google
title: Senior Staff Software Engineer, Infrastructure, Google Cloud
level: Advanced
location: Warsaw, Poland
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.
key_qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience with design and architecture, and testing/launching software products.
preferred_qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience in designing APIs.
responsibilities: Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
company: google