vmal/jobs_dataset huggingface dataset:
{"title": "QA Engineer, Twisted Pixel Game Studio", "level": "", "location": "Austin, TX", "description": "Twisted Pixel is an award-winning game development studio. We are working on a new VR game and looking for an experienced QA Engineer to join in the fun.\n\nAs a QA Engineer, you will split your time between utilizing your excellent problem-solving skills to find and resolve various in-game issues and on technical testing needs, data analytics, supporting and creating critical testing tools and ensuring overall quality of the product. In this role, you will spend multiple hours in a VR headset daily. You will be highly collaborative but also have the ability to stay focused when in an isolated environment. Clear communication skills are a must to relay key information to the team and stakeholders, and drive knowledge sharing.\nWhat sets the QA Engineer apart is a specialization in tech, automation and data, a focus on larger scope strategy, independence and confidence coordinating between disciplines and a passion for creating new and exciting products.", "salary": "US$88,000/year to US$129,000/year + bonus + equity + benefits", "key_qualifications": "3+ years of professional QA experience in a game testing environment; 1+ years of professional coding experience using Python, Ruby, C++ or C#; Experience with Unreal / UE4 or 5, Perforce, VS Code Debugger, and Unreal Editor; Experience with Testing Software such as Atlassian Suite, ClickUp, or TestRail; Experience with writing test plans and test cases; Basic data literacy as demonstrated by experience with KPIs, data analytics or statistics; Understanding of playing VR multiple hours a day in a fast paced app/game.", "preferred_qualifications": "Experience working in a QA or Dev role on a VR title; Data management experience; Experience with PowerBI, Tableau, or creating data dashboards; Experience with Blueprints.", "responsibilities": "Work closely with QA team, Directors, and other developers to define acceptance criteria, plan test coverage, assisting in executing day to day testing, identify risks, and build tooling and automation to improve efficiency across the team; Develop a deep understanding of the product from both technical and user perspective and help identify quality improvements for gameplay moments; Apply your strong sense of automation and efficiency, to develop and implement automation test strategies and utilize technical tooling to expand the breadth and depth of our QA coverage and improve efficiencies within the QA department; Report and track data quality and utilize data visualization tools to drive conversations around risks, product quality and development health, and identify root cause; Be a good citizen for your immediate team, participating in team level projects and roadmap discussions; Actively in a VR headset multiple hours a day (5-7hrs) in a fast paced app/game, identifying defects and quality concerns.", "company": "meta"}
{"title": "Account Manager, Nordics (Norway)", "level": "", "location": "Dublin, Ireland", "description": "Meta's Small and Medium Business group contributes to Meta's mission by connecting businesses around the world with their customers through Meta's full suite of advertising solutions. We succeed when we help our customers grow their business. People joining our team will have an outstanding opportunity to build client and agency relationships. Account Managers will leverage customer insights to help clients build their business using Meta to drive success. The ideal candidate will be a proactive individual passionate for sales and marketing. The role of the account manager will be to establish, own and manage an expanding portfolio of direct customers, focusing on driving revenue via account planning, product adoption, education and customer satisfaction. Success in this position requires strong consultative sales skills, a focus on customer service, and the ability to thrive in a dynamic and data-driven, team-focused environment delivering against tight deadlines. This position is based in Meta's EMEA Headquarters in Dublin.", "salary": "", "key_qualifications": "Bachelors or Masters degree or equivalent practical experience. Critical thinking, analytical skills with an entrepreneurial and proactive mind-set. Ability to effectively prioritise tasks and manage time, even under high-pressure situations. Ability to articulate complex data stories, in simple language to customers via day to day communications and regular presentation. Customer management experience. Strong team working skills and adaptability. Ability to present key client issues in an effort to be the customer advocate within Meta. Fluency in English and a Nordic language (Danish, Norwegian, Swedish, Finnish).", "preferred_qualities": "Language proficiency in Norwegian. Previous experience in sales, account management, sales support, agency account management or consulting.", "responsibilities": "Manage a portfolio of clients, with a focus on driving revenue growth. Drive product and best-practice adoption across the portfolio. Build mutually beneficial relationships with advertisers to grow their spend. Identify growth opportunities and trends across the portfolio. Effectively manage priorities and time in order to meet deadlines and administrative tasks.", "company": "meta"}
{"title": "ASIC Engineer, Architecture (University Grad)", "level": "", "location": "Bangalore, India", "description": "Meta Platforms Inc. is seeking an ASIC Engineer, Architecture to join our Infrastructure organization. This organization is responsible for building and maintaining the data centers that host all of our services - Facebook, Instagram, WhatsApp etc. These servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. In this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You will have an opportunity to work with experts in the domain of video transcode, AI/ML and other technologies to evaluate algorithms, develop functional and performance models and help architect state-of-the art hardware accelerator ASICs. Come work and learn alongside our expert engineers to build \u201cGreen\u201d data center accelerators.", "salary": "", "key_qualifications": "Computer Architecture coursework that has covered concepts such as microprocessor architecture, memory systems and on-chip interconnection networks. Familiarity with C, C++, Python or other Object Oriented Programming Languages. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.", "preferred_qualifications": "Currently has, or is in the process of obtaining, a Master\u2019s degree in Electrical Engineering, Computer Engineering, Computer Science or similar technical fields. Experience and knowledge in video/image/signal processing and related standards. Experience and knowledge in machine learning architectures and frameworks. Experience in analyzing and driving power versus performance trade-offs in ASIC design.", "responsibilities": "Implement and analyze advanced algorithms and architectures for video transcode and machine learning SoCs. Analyze and map data center workloads to ASIC architecture. Develop performance and functional models at different levels of abstraction to validate the architecture. Work with a broad array of cross functional partners in ASIC design, verification, silicon bring-up, firmware and software development to ensure the successful production deployment of the SoCs. Implement architecture documentation and other collateral necessary for the use and integration of your designs.", "company": "meta"}
{"title": "Enterprise Engineer", "level": "", "location": "Fremont, CA", "description": "Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click \u201cApply to Job\u201d online on this web page.", "salary": "US$180,583/year to US$200,200/year + bonus + equity + benefits", "key_qualifications": "Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or a computer-related occupation. Requires two years of experience in the following: 1. Building intuitive systems in Java, PHP, C++ or JavaScript technologies such as ReactJS or AngularJS 2. Working with code bases building micro services, and REST APIs 3. Modelling data flows between systems to enable transactional workflows and upstream or downstream integrations 4. Building secure software with auditable access controls and permissions 5. Object-oriented programming 6. Unix or Linux 7. Python and JavaScript.", "preferred_qualifications": "", "responsibilities": "Develop, design, create, modify, and/or test software systems for various software services. Build industry leading enterprise systems that are highly available, intuitive, scalable, and secure. Work with product managers, designers and other engineers to create software that optimizes for business metrics. Produce highly reliable and performant code with appropriate monitoring and alerting. Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices. Follow release management policies to ensure data integrity, compliance and system stability. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.", "company": "meta"}
{"title": "Network Engineer, Deployment & Support", "level": "", "location": "Gallatin, TN | Kuna, ID", "description": "Meta's Edge & Network Service (ENS) team is actively looking for passionate people to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Facebook network team and is responsible for the deployment and support of all production networks (Edge, Backbone, Optical, and Datacenter) as well as our content delivery network (CDN) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and talented engineers solving some of the most complex problems in the industry.", "salary": "US$132,000/year to US$190,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP). Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling. Proven experience working in a global team environment and solving problems with limited supervision. Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6. 6+ years of work experience responsible for designing, deploying and operating large-scale networks. Experience working in a multi-vendor environment with hands-on experience with networking hardware. Proven experience managing multiple projects simultaneously and deliver against mission critical deadlines.", "preferred_qualifications": "Working knowledge of data center power and cooling infrastructure and critical facility operational best practices. Technical leadership skills and people management experience. Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices. Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl). Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies.", "responsibilities": "Deployment, configuration, and management of all network infrastructure on our colocation sites. Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network. Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks. Create deployment packages and maintain as-built documentation and asset database for installed network gear. Establish and implement global best practices and contribute to the design of new scalable network solutions. Support the development, testing and integration of new hardware and software platforms into the network. Participate in an on-call rotation to support the regional network infrastructure 24x7. 10% of travel required, up to 30% based on projects.", "company": "meta"}
{"title": "Software Engineer, Computer Vision - Reality Labs", "level": "", "location": "Burlingame, CA", "description": "Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.\n\nAs Computer Vision Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.\n\nMeta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.", "salary": "US$85.10/hour to US$251,000/year + bonus + equity + benefits", "key_qualifications": "Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, Machine Learning or artificial intelligence\nBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.\nExperience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python", "preferred_qualifications": "Experience with distributed systems or on-device algorithm development\nExperience in deep learning and PyTorch\nExperience in language guided vision systems", "responsibilities": "Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences\nAssist in goal setting related to project impact, AI system design, and ML excellence\nDrive large efforts across multiple teams\nMentor other AI Engineers & improve the quality of AI work in the broader team\nDevelop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches\nApply in-depth knowledge of how the machine learning system interacts with the other systems around it", "company": "meta"}
{"title": "Research Scientist Manager, Generative AI - Llama Applied LLMs", "level": "", "location": "Menlo Park, CA", "description": "The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of large language models, particularly focusing on building new capabilities for Llama inspired by internal use cases.  As a technical leader, you will play a critical role in building our series of efficient Llama models and building new capabilities on top of them. You will work with internal clients to understand their needs and push the boundaries of text LLMs via breakthroughs in several capabilities.", "salary": "US$177,000/year to US$251,000/year + bonus + equity + benefits", "key_qualifications": "5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development; Experience and track of recording in landing large research and/or product impacts in a fast-paced environment; 3+ years of hands-on supporting and leading teams of research scientists and software engineers; Proven technical vision in where the field of generative AI will go; Experience of and knowledge of model efficiency techniques (quantization, distillation, etc.); Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions; Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management", "preferred_qualifications": "PhD in deep learning, artificial intelligence, and/or related technical field; Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.; Experience and knowledge of large-scale data platforms such as Spark, Hive, etc.; Experience and knowledge of working with LLM frameworks like LangChain; Experience and knowledge of training LLMs, fine-tuning on datasets, especially LLaMa", "responsibilities": "Drive efficiency gains on training and deployment of LLMs through novel techniques; Drive end-to-end development of LLMs models, including data sourcing and curation, filtering, experiment design, evaluation and more; Lead a team of applied researchers to democratize Llama for Meta's users; Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects; Remain up-to-date on ongoing research and software development activities in the team, help work through technical challenges, and be involved in design decisions; Remain deeply involved in the research community, both understanding trends, and setting them", "company": "meta"}
title: Software Engineering Manager, Tel Aviv
level: Engineering Manager
location: Tel Aviv, Israel
description: Meta Tel Aviv is hiring Engineering Managers to lead rapid scaling internationally. We want the most creative and experienced engineering leaders to join us in giving people the power to build community and bring the world closer together. We are looking for Software Engineering Managers with progressive technical experience, a demonstrated progression of management scope and a passion for managing outstanding engineers in a fast-paced environment.
key_qualifications: Proven track record of supporting technical teams; Strong problem solving skills and background in coding; Demonstrated ability to manage technical teams; Knowledge of growing teams and/or organisations; Experience supporting product engineering teams; BS / MS in Computer Science (In lieu of degree, relevant work experience)
responsibilities: Be a highly technical, hands-on and an effective people manager; Mentor and support engineers' growth and success, help them to find and focus on their strengths; Lead and guide engineering culture to form a high performance team; Communicate across functions and drive engineering initiatives; Participate in technical design; Be a subject matter expert in a product domain; Define and influence product strategy; Maximize efficiency in a constantly evolving environment where process is fluid and creative solutions are the norm; Contribute to the overall maturity of deployment and other processes
company: meta
{"title": "Research Scientist - Generative AI (PhD)", "level": "", "location": "Menlo Park, CA | Seattle, WA | New York, NY", "description": "Meta is seeking a Research Scientist to join Monetization Generative AI (MGenAI). In the past year, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI\u2019s mission is to lead the charge in generative AI technology and build products that will help businesses become more productive and efficient. The team is particularly focused on image creative generation. Individuals in this role are expected to be recognized experts in AI and machine learning, particularly in areas such as generative AI and computer vision. The ideal candidate will have a keen interest in producing new applied science to make computers more intelligent, and more importantly convert that into production at a large scale.", "salary": "US$117,000/year to US$173,000/year + bonus + equity + benefits", "key_qualifications": "Currently has or is in the process of obtaining a PhD degree in Computer Science or related field or relevant experience. Track record of publications that demonstrate experience in a quantitative domain. Experience collaborating within a team to solve analytical problems using quantitative approaches. Experience manipulating and analyzing high-volume, high-dimensionality data from varying sources. Knowledge in a programming language. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.", "preferred_qualifications": "First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR). Experience conducting original research that can be applied to Generative AI research at Meta.", "responsibilities": "Collaborate on research that enables AI-based image/video synthesis and editing. Collaborate on research that enables learning the semantics of data (images, video, text, audio, and other modalities). Contribute research that can be applied to Meta product development. Influence progress of relevant research communities by producing publications. Collaborate and increase productivity on existing Meta AI projects as a contributing team member.", "company": "meta"}