vmal/jobs_dataset huggingface dataset:
{"title": "Security Engineer, Abuse Vulnerability Rewards Program", "level": "Mid", "location": "Seattle, WA, USA; Washington D.C., DC, USA", "description": "There's no such thing as a \"safe system\" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.\n\nYou use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues.\n\nThe Abuse Vulnerability Rewards Program recognizes the contributions of security researchers who invest their time and effort in helping us make our products less susceptible to bad actors that intend to commit significant acts of abuse against our products and users.\n\nThe Abuse Vulnerability Rewards Program (VRP) is a bug bounty program which covers abusive use of Google's systems, including new Generative AI products. The program recognizes the contributions of security researchers who invest their time and effort in helping us make our products less susceptible to bad actors that intend to commit significant acts of abuse against our products and users. The VRP team is responsible for assessing VRP reports, interacting directly with researchers and product teams, deciding on rewards for reporters, and managing coordinated disclosure of vulnerabilities.", "salary": "$161,000-$239,000 + bonus + equity + benefits", "key_qualifications": "Bachelor's degree or equivalent practical experience.\n5 years of experience with security assessments, security design reviews, or threat modeling.\n5 years of experience with security engineering, computer and network security, and security protocols.\n5 years of experience coding in one or more general purpose languages.", "preferred_qualifications": "Experience with writing Python code in production environments.\nExperience working with external parties or in a publicly-facing role.\nExperience with generative AI or similar AI/ML systems.\nExperience working in bug bounties.\nExcellent problem-solving and critical thinking skills, with attention to detail in an ever-changing environment.", "responsibilities": "Serve as a point of technical escalation for first-line triage and manage communication between researchers and product teams.\nAssess reported bugs critically to determine what, if any, reward should be issued for them.\nGrow and develop the technical capabilities of the team and of individual team members.\nParticipate in the larger VRP community and engage in cross-team projects to improve the bug bounty experience for all reporters.\nDevelop and guide the scope and handling of Generative AI issues reported to the bug bounty.", "company": "google"}
{"title": "System Technical Program Manager", "level": "Mid", "location": "New Taipei, Banqiao District, New Taipei City, Taiwan", "description": "Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.", "key_qualifications": "Bachelor's degree in a relevant field, or equivalent practical experience. 2 years of experience in program management. Experience with consumer electronics or manufacturing assembly process. Experience with working and managing international OEM partners.", "preferred_qualifications": "5 years of experience managing cross-functional or cross-team projects. Experience in leading technical projects in consumer electronics or related companies. Excellent communication skills and ability to influence decisions effectively across all project stakeholders and levels. Ability to travel up to 30% of the time as needed.", "responsibilities": "Manage project operations from proto builds through ramp and serve as technical lead in resolving complex issues during bring-up and life of product. Lead a cross-functional team of engineers in the development and support of New Product Introductions. Lead project readiness. Identify, prioritize, and manage key technical changes and risks of a given product. Ensure all technical risks associated with a product are identified and closed or mitigated to enable the quality ramp of a product. Review assessment of the robustness of Engineering and Manufacturing solutions to meet the requirements of the operation and the implementation of any additional solutions to mitigate any risks to the plan. Advise the product line for the life cycle of the product. Ensure operations technical readiness for all phases of the introduction cycle.", "company": "google"}
{"title": "Multimedia Machine Learning Architect, Silicon", "level": "Mid", "location": "Mountain View, CA, USA; San Diego, CA, USA", "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. Google'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": "$127,000-$187,000 + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience with machine learning or multimedia technologies. Experience with architecture or silicon engineering such as computer architecture, DSP circuits, VLSI, or RTL. Experience with Machine Learning frameworks such as TensorFlow and PyTorch.", "preferred_qualifications": "Master's degree or PhD in Computer Science, Electrical Engineering, or a related field. Experience in Machine Learning hardware architecture and computer hardware architecture design. Experience in mobile cameras, computational photography techniques, depth sensing cameras, and others. Experience in machine learning and image/video/display processing algorithms for mobile photography applications.", "responsibilities": "Analyze key Machine Learning workloads and the-related user experience and identify hardware acceleration opportunities. Explore design space and map user experience to hardware and software components on SoC. Design Machine Learning acceleration architecture with comprehensive architectural and quality analyses. Collaborate with algorithm owners to design hardware-friendly networks. Collaborate with cross-functional teams such as research, algorithm, product managers, hardware/software/SoC architecture, and implementation at various design stages. Deliver comprehensive architecture specification and analyses.", "company": "google"}
title: Physical Design and Machine Learning Engineer, Silicon
level: Mid
location: Bengaluru, Karnataka, India
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.

With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

Google'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.
key_qualifications: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or equivalent practical experience.
3 years of experience in physical design.
preferred_qualifications: Experience and knowledge in machine learning algorithms from logistic regression to neural networks and reinforcement learning.
Knowledge of computer architecture and Verilog/SystemVerilog.
Knowledge of circuit design, device physics, and sub-micron technology.
Knowledge of algorithms and data structures.
responsibilities: Develop and deploy machine learning solutions to improve physical design.
company: google
{"title": "Quantitative Marketing Analyst, Growth Lab, Gemini", "level": "Mid", "location": "New York, NY, USA", "description": "As a Quantitative Marketing Analyst on the Growth Lab Gemini team, you will play a pivotal role in understanding and optimizing the usage and subscription lifecycle for Gemini. You will leverage your SQL expertise and investigative skills to uncover insights, drive data-informed decisions, and ultimately enhance user engagement and retention. You will be a key player in our data-driven approach to user acquisition, engagement, and retention.", "key_qualifications": "Bachelor's degree or equivalent practical experience. 5 years of experience designing, scoping, executing, and delivering research and analysis projects, and managing research and measurement agencies. 5 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations. Experience in analyzing subscription metrics and key performance indicators (e.g., churn rate, lifetime value, conversion rates).", "preferred_qualifications": "8 years of experience in data analysis and driving growth in subscription-based products or services. Experience with R or Python for statistical analysis and data visualization, and SQL to write queries, extract data from various sources, and perform in-depth analysis. Experience in designing and analyzing A/B tests, multivariate experiments, or other controlled studies. Experience working in a cross-functional team, managing projects with multiple stakeholders and priorities. Knowledge of subscription billing systems and processes. Familiarity with Google's data infrastructure (e.g., BigQuery).", "responsibilities": "Conduct in-depth analysis of user and subscriber behavior, identify trends, and uncover insights that drive product improvements and marketing strategies. Create clear and informative reports and dashboards to track key subscription metrics and communicate findings to stakeholders. Collaborate with cross-functional teams to design and implement A/B tests to evaluate the impact of product changes on business outcomes. Build models to predict subscriber churn, identify at-risk subscribers, and forecast future user trends. Work closely with Product Managers, Marketers, and Engineers to translate data insights into actionable recommendations.", "company": "google"}
title: Network Implementation Engineer
level: Mid
location: Tel Aviv, Israel
description: Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale.
key_qualifications: Bachelor's degree in a technical field or equivalent practical experience. 4 years of experience in telecommunications, including carrier class scale and optical network infrastructure, transmission systems, layer2/3 routers and data services. Experience with fiber types and their application, physical fiber characteristics, and standard testing tools (e.g., OSA, BERT, OTDR).
preferred_qualifications: Experience working in a data center with OSP, ISP, AC/DC power systems, environmental controls relay rack/cabinet/cage construction. Experience in Dense Wave-Division Multiplexing (DWDM) and Routing topology and architecture. Knowledge of scripting/programming languages (e.g., Python, Apps Script, SQL). Understanding of networking and fundamentals of network troubleshooting at Layer 1 and Layer 3.
responsibilities: Develop business requirement documentation based on solicitation from internal teams. Work with development teams to implement automation requirements. Manage and audit network equipment installations using third-party vendors or resources. Test, troubleshoot, and commission routers, optical transport equipment, and other network devices in new and existing network nodes across Google global networks. Generate implementation plans and provide technical leadership and guidance during deployment activities.
company: google
title: Software Engineer III, Machine Learning, Fitbit
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 machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
preferred_qualifications: Master's degree or PhD in Computer Science or related technical field.
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": "Systems Development Engineer, SaaS Protection", "level": "Mid", "location": "Hyderabad, Telangana, India", "description": "Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don\u2019t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it\u2019s hard to control what you can\u2019t measure \u2013 so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.\n\nGoogle brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.\n\nTogether we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.\n\nThe Core team builds the technical foundation behind Google\u2019s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google\u2019s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.", "salary": "", "key_qualifications": "Bachelor's degree or equivalent practical experience. 3 years of experience in Linux system administration, troubleshooting, scripting, and networking.", "preferred_qualifications": "Experience with automation, systems design, and implementation. Experience with SaaS platform administration. Understanding of complex IT infrastructure, security standards, and ability to troubleshoot issues. Ability to adjust quickly to changing priorities and make progress in areas where a high ambiguity and uncertainty exist with minimal guidance. Strong customer service, documentation, prioritization, multitasking, communication, and leadership skills. Systematic problem-solving approach, coupled with a strong sense of ownership and drive.", "responsibilities": "Deploy and automate third-party security products used to protect Google SaaS footprint. Write code to manage SaaS platforms and automate routine tasks (Python, Bash, Go, etc.). Respond to tickets within team defined Service Level Objectives (SLO).", "company": "google"}
{"title": "Market HR Partner (Mandarin, English)", "level": "Mid", "location": "New Taipei, Banqiao District, New Taipei City, Taiwan", "description": "Great just isn't good enough for our People Operations team (known elsewhere as \"Human Resources\"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field. You\u2019ll play an essential role advancing a more diverse, accessible, equitable, and inclusive Google through our hiring, promotion, retention, and inclusion practices.", "salary": "", "key_qualifications": "Bachelor's degree or equivalent practical experience. 7 years of experience as an HR Business Partner or HR Generalist in Taiwan. Ability to speak Mandarin and English fluently to support and partner with local and regional teams.", "preferred_qualifications": "Experience with cross-functional collaboration and driving decisions with multiple stakeholder groups. Experience handling compliance requirements, conducting risk assessments, reviewing other regulatory requirements, and supporting labor relations and union engagements. Excellent project management skills and delivery, with ability to manage multiple simultaneous priorities. Strong problem-solving, critical thinking, analysis, and change management skills.", "responsibilities": "Work with the relevant teams to ensure complete delivery for our HR processes in country. Solve for compliance matters and review local policies in the context of the market. Work with the compliance team, process ownership team, user support team, and the relevant COE teams on prioritizing and mitigating market related risks. Provide local context and advice on key HR related matters. Support local labor management councils and engage with external labor bodies.", "company": "google"}
title: Software Engineer III, Geo
level: Mid
location: Bangalore, Karnataka, India
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. 2 years of experience with data structures or algorithms.
preferred_qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies.
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: Software Engineer III, Google Play Investment
level: Mid
location: Bangalore, Karnataka, India
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. 3 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms.
preferred_qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies.
responsibilities: Design and implement solutions in Google Play back-end and storage systems. Collaborate with team members from the Games Multi-platform team and partner teams (e.g., Play Developer Console, Play business, Play platform). Collaborate across functions/teams on project execution.
company: google