vmal/jobs_dataset huggingface dataset:
{"title": "Research Engineer, Language - Generative AI", "level": "", "location": "Bellevue, WA", "description": "Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team\u2019s recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.", "salary": "US$85.10/hour to US$251,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications.", "preferred_qualifications": "Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. A PhD in AI, computer science, data science, or related technical fields. Direct experience in generative AI and LLM research. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).", "responsibilities": "Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing efforts.", "company": "meta"}
{"title": "Research Engineer - Conversational AI - Reality Labs", "level": "", "location": "Redmond, WA | Menlo Park, CA | Burlingame, CA | New York, NY", "description": "Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results.", "salary": "US$85.10/hour to US$251,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications.", "preferred_qualifications": "Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. A PhD in AI, computer science, data science, or related technical fields. Direct experience in generative AI and LLM research. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).", "responsibilities": "Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing efforts.", "company": "meta"}
{"title": "AI Research Engineer, Computer Vision - FAIR", "level": "", "location": "Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA", "description": "Meta FAIR is one of the top industrial research organizations in the world. In the FAIR Perception team, we publish groundbreaking papers (e.g., Segment Anything, Masked Autoencoders, Hiera) and collaborate closely with Applied Research and Meta production teams to bring the latest research findings to Meta's products for connecting billions of users.\n\nWe are driving an ambitious agenda building on the success of Segment Anything and other related works to create foundation models for computer vision and language.  We drive impact by developing state-of-the-art models, massive scale datasets, and compelling interactive demos.  We are looking for strong engineers who are enthusiastic about software engineering and computer vision research.", "salary": "US$70.67/hour to US$208,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Masters degree in Computer Science or related technical field, or equivalent practical experience. 3+ years of experience in one or more of the following areas: Deep Learning, Computer Vision, Computer Graphics, Robotics, or AI-Infrastructure. Experience writing software and executing complex experiments. Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception. Experience with Python and PyTorch.", "preferred_qualifications": "PhD in computer vision and/or machine learning or related areas. Publication record in AI conferences like ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, CHI, ISMAR, UIST, VR, etc. Experience with C++, CUDA and model optimization.", "responsibilities": "Leading, collaborating, and executing on research that pushes forward the state of the art in computer vision. Contributing to experimental design, implementation, evaluation, and reporting results. Working with and creating large datasets and evaluation benchmarks. Collaborating with scientists and engineers in a large cross-functional team. Building optimized software tooling and infrastructure to accelerate research outcomes.", "company": "meta"}
{"title": "AI Research Scientist - Language (Technical Leadership)", "level": "", "location": "Bellevue, WA; Menlo Park, CA; Seattle, WA; New York, NY", "description": "Meta is seeking Research Scientists to join our AI Research and Development organizations. The ideal candidate will have industry experience working on Language related topics and the ability to apply relevant AI and machine learning techniques to build intelligent rich language systems that improve Meta's products and experiences. Candidates should have an equal interest in taking new research findings in this area and implementing them towards product needs. We are hiring in multiple locations.", "salary": "US$213,000/year to US$293,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Experience holding a faculty, industry, or government researcher position. Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Proven track record of recent and consistent publication/citation history. Experience leading a team in solving modeling problems using AI/ML approaches. Experience in applying research to production problems. Experience communicating research for public audiences of peers. Experience in developing and debugging in Python, C/C++, or C#. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research. 4+ years of experience as technical lead for a project of 4 or more individuals. First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI). Experience with interdisciplinary and/or cross-cultural collaboration. Experience bringing machine learning-based products from research to production.", "responsibilities": "Help advance the science and technology of intelligent machines. Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives. Influence progress of relevant research communities by producing publications. Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development. Lead and collaborate on research projects within a team. Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems. Apply in-depth knowledge of how the machine learning system interacts with the other systems around it.", "company": "meta"}
title: Research Scientist Manager (Llama team)
location: Zurich, Switzerland
description: The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of Llama models. As a technical leader of our team, you will play a critical role in building state of the art LLMs. We have the opportunity to help people everywhere get stuff done better and faster. This year we open sourced Llama 2 and launched Meta AI. We will continue investing here to improve model quality and model capabilities.
key_qualifications: Experience in leading research projects; Extensive hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development; Extensive experience supporting and leading teams of software engineers and research scientists; Proven technical vision in where the field of generative AI; 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 training LLMs
responsibilities: Grow a team of domain experts within LLM Research of Generative AI; Develop technical vision, long-term strategy and set direction for the team and the organization; Drive execution of developing models and systems; Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects; Remain up-to-date on ongoing research and development activities in the team, help work through technical challenges, and be involved in design decisions
company: meta
{"title": "Production Systems Engineer, Fleet AI Systems", "level": "", "location": "Bellevue, WA | Menlo Park, CA", "description": "Meta is seeking a Production Systems Engineer to join our Release to Production (RTP) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The RTP team is responsible for the Hardware Lifecycle of all Meta servers including pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues.\n\nRTP Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Facebook services, and data center operations teams to test systems before release to our production data centers, and to track the health and lifecycle of servers in production.", "salary": "US$124,000/year to US$191,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 2+ years of support in hardware system support. Troubleshooting and analytical experience. Knowledge of server architecture and components. Experience with Linux and scripting. Experience in changing system configurations and measuring change impact. Experience working in a matrix organization. Experience working through full life cycle for computer system products. Experience supporting AI/HPC systems and/or related components at scale. Engineering for different server system/data center products.", "preferred_qualifications": "4+ years experience in Production support at scale (e.g. - 10K storage servers and over 100K HDD). 4+ years experience in full system technologies. Experience in post-production hyperscale post-production environments, solutions.", "responsibilities": "Interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures. Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues. Develop test framework for large-scale test automation inside fleet during product development and after mass production. Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log. Develop and publish updates on resolutions and communicate findings internally. Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders. Develop visibility through data visualization and implement systemic solutions to hardware health issues. Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously.", "company": "meta"}
{"title": "Patent Counsel", "level": "", "location": "Los Angeles, CA", "description": "Meta seeks a highly-motivated, team player to serve as Patent Counsel on the Patent & Trade Secret Team. This position will help counsel clients on patent and trade secret risk, advise on intellectual property strategies, and manage the patent portfolio activities for certain technology areas and will report to the head of Patents & Trade Secrets. You must have the ability to operate independently in a fast-paced environment and work proactively with various teams across the organization including Legal, Product, and Engineering. This is a great opportunity to join a world-class legal team and work on cutting-edge issues in an exciting, fast-paced environment.", "salary": "US$167,000/year to US$233,000/year + bonus + equity + benefits", "key_qualifications": "J.D. Degree (or foreign equivalent) and membership in at least one U.S. state bar; 3+ years of patent prosecution experience; Effective communication, negotiation, and collaboration skills; Experience to adapt and prioritize in a fast-paced environment, maintaining big-picture focus on company goals; Experience with artificial intelligence, virtual/mixed reality, augmented reality, web technologies, social products/technologies/platforms and/or the mobile space", "preferred_qualifications": "In-house experience, especially strategic risk mitigation and patent portfolio development and counseling of R&D leadership; BS or graduate degree in computer science or electrical engineering; Eligible to practice before the US Patent and Trademark Office; Experience with the full lifecycle of patent portfolio development, maintenance, and divestiture; Experience with IP and patent transactions and litigation; Knowledge of physics, optics, chemistry, or related engineering fields, either through degrees conferred or significant industry experience", "responsibilities": "Work with legal, product, and engineering teams to mitigate IP risk and protect products, services, and technologies that map to Meta\u2019s intellectual property strategy; Understand Meta\u2019s strategic and competitive position and think at a high level about patent and trade secret strategy; Manage patent portfolio and related activities for multiple product/technology areas, including invention identification, patent committees, invention disclosure meetings, portfolio mining, and overseeing global patent application preparation and prosecution; Work collaboratively with clients and manage outside counsel and service providers to support patent and trade secret-related work; Train, educate, and counsel product, engineering teams, and other partners in intellectual property matters; Support IP aspects of technology transactions, as well as patent acquisitions, licensing, and litigation.", "company": "meta"}
{"title": "Content Manager, Weekend", "level": "", "location": "Sydney, Australia", "description": "Meta\u2019s Product Content Operations (PCO) team is a horizontal function that works across Meta\u2019s products and platforms. Made up of content specialists with technical expertise, PCO works in close partnership with engineering and product teams to deliver the best content experiences at scale. The work is fast-paced and innovative, situated at the intersection of quality content and Meta\u2019s industry-leading ranking and delivery systems.\n\nThe team is looking for content managers to execute across a variety of projects across multiple languages. The main function of a content manager is to aid in surfacing the best content and conversations on Meta platforms. Candidates should have proven editorial judgment, as well as experience managing content teams through every stage of product development, including roadmap formation, iterative testing, and quality control efforts.", "salary": "", "key_qualifications": "5+ years of professional experience in content or social media management or journalism\nCritical thinking/analytical experience\nExperience in presenting and communicating to senior leadership", "preferred_qualifications": "Experience supporting engineering and ranking teams, especially in bringing content expertise to ranking priorities\nExperience working with product teams or programs (or other equivalent fields) from roadmapping through delivery\nExperience with human-assisted Machine Learning\nFluency in a Southeast Asian language is preferred, as this role reviews regional content where usual business language is in a regional language\nSQL and query abilities are a plus", "responsibilities": "Ensure seamless handoff and continuation of projects between weekend and weekday staff, across regional shifts and teams\nIdentify timely and high-value content or content attributes both on- and off-platform across a variety of media types\nManage cross-functional relationships with high flexibility and strong collaboration\nProvide regular progress reports across assignments to team leads and organizational leadership\nDefine and analyze metrics that inform project success\nDraft and edit guidelines that help review content at scale, maintaining commitment to accuracy and consistency\nManage multiple products and priorities while maintaining quality output\nAbility to flex across atypical working hours as needed\nWillingness and proven ability to manage a small contingent workforce as needed\nAbility to analyze data to evaluate performance and make recommendations for improvements or adjustments", "company": "meta"}
{"title": "Research Scientist - Central Applied Science", "level": "", "location": "Menlo Park, CA, Burlingame, CA, New York, NY", "description": "We are looking for researchers and applied scientists to join the Core Data Science team. Core Data Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.", "salary": "US$70.67/hour to US$208,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. MS degree with 4+ years of relevant experience, or PhD in computer science, statistics or a related field. Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields. Experience analyzing datasets using languages like Python or R. Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn. Experience developing algorithms in languages like Python, C, C++ or Java. Experience analyzing large datasets using tools like Presto, Hive or Spark. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "", "responsibilities": "Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products. Develop novel quantitative methods on top of Meta's unparalleled data infrastructure. Work towards long-term ambitious research goals, while identifying intermediate milestones. Communicate best practices in quantitative analysis to partners. Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users. Actively identify new opportunities within Meta's long term roadmap for data science contributions.", "company": "meta"}