vmal/jobs_dataset huggingface dataset:
{"title": "Research Scientist, NLP, GenAI (PhD)", "level": "", "location": "Paris, France, London, UK", "description": "Meta is seeking Research Scientists specialized in NLP to join its Generative AI (GenAI) organization. We publish groundbreaking papers such as the recently released Llama-2 paper. We are currently seeking talented researchers with experience in NLP to join our Paris sites and work with us on extending the capabilities of large foundation models through fine-tuning. The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.", "salary": "", "key_qualifications": "Currently has or is in the process of obtaining a PhD in the field of  Computer Science, Mathematics, or similar quantitative field. First-author publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR). Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use. Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, \u2026). Ability to communicate complex research both in writing and orally for public audiences of peers. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR), as witnessed by citations and other signs of influencing the research community. Experience in AI research beyond completing a PhD. Experience in developing and debugging beyond ML experimentation. Experience in working in an industry research environment. Experience in coordinating the research of PhD students or other researchers. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Experience working and communicating cross functionally in a team environment.", "responsibilities": "Conduct research that extends the capabilities of foundation models through model fine-tuning. Work towards long-term ambitious research goals, while identifying intermediate milestones. Influence progress of relevant research communities by producing publications. Contribute research that can be applied to Meta product development. Lead and collaborate on research projects within a globally based team.", "company": "meta"}
{"title": "Fundamental AI Research Scientist, FAIR (PhD)", "level": "", "location": "Paris, France", "description": "Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, natural language processing, speech and vision,  multimodality, multilinguality, representation learning,  AI safety, foundations of generative modeling, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.", "salary": "", "key_qualifications": "Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas. Research publications reflecting experience in theoretical or empirical research. Experience in developing and debugging in Python or similar programming languages. Experience in analyzing and collecting data from various sources. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ACL, EMNLP, ICLR, FacCT, CCS, IEEE S&P, and other similar venues. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Experience collaborating in a team environment on research projects. Experience communicating research for public audiences of peers.", "responsibilities": "Perform research to advance the science and technology of intelligent machines. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities). Work towards long-term ambitious research goals, while identifying immediate milestones. Influence progress of relevant research communities by producing publications. Open source high quality code and produce reproducible research.", "company": "meta"}
{"title": "Director Data Science", "level": "", "location": "Burlingame, CA", "description": "We\u2019re looking for a seasoned analytics leader to drive data-informed decisions for the Reality Labs Business Group. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our hardware and software products for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.", "salary": "US$314,000/year to US$361,000/year + bonus + equity + benefits", "key_qualifications": "10+ years of work experience managing analytics teams, working collaboratively with Product and Go to Market teams, and guiding data-influenced product and business planning, prioritization and strategy development. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses. Demonstrated experience in hiring, retaining and scaling diverse, geographically dispersed, high-performing teams.", "preferred_qualifications": "Previous experience in consumer electronics, consumer subscription, or omni-channel commerce businesses. Knowledge of gaming and/or entertainment industry, including content lifecycle (sourcing, greenlight, launch, etc.), creator ecosystems, platform interactions. Experience with driving analytics for a brand-new or rapidly scaling business or product line. Experience with both product analytics and business analytics applications.", "responsibilities": "Partner with leadership teams across Content, Sales, Product Marketing, and Marketing organizations to craft business strategies and strengthen a data-inspired culture where we are bringing innovative data insights into the key decisions. Inspire, lead and grow a distributed team of data scientists across North America. Apply your expertise directly and through coaching the team to use quantitative analysis, relatable narratives, and the presentation of data in developing data-informed strategies for building and growing the next computing platform. Establish measurement frameworks and organizational processes in support of content and go to market strategies. Build strong cross functional relationships in order to strengthen data culture and analytics team integration into key product and GTM processes. Help lead the broader analytics organization through change and adapt to ever changing legal and privacy landscape. Be proactive with asking questions, ensuring that the right questions are being answered with appropriate level of rigor and that analyses lead to clear and actionable recommendations and impactful product and business changes.", "company": "meta"}
{"title": "Security Partner - Mergers & Acquisitions (M&A)", "level": "", "location": "Menlo Park, CA | Seattle, WA | Washington, DC | New York, NY | Remote, US", "description": "Do you love designing secure-by-default solutions and building security programs? Security Partners have a deep understanding of one or more areas of Meta's expanding portfolio and partner with engineering leaders to ensure that security is built-in from the get-go. Broadly, this might be securing end-to-end messaging encryption, protecting next-generation gaming and media services from exploitation, validating secure boot processes and certificate storage, infusing security into SoC hardware designs, or creating security programs for our expanding portfolio.\n\nWe are currently looking for someone with a broad security background who loves weaving security into the fabric of M&As.\n\nIn this role, you will have the opportunity to solve complex business and security problems, while minimizing friction and maximizing productivity and impact. You will be required to use both broad and deep technical knowledge across a range of security disciplines in order to make recommendations to leadership on resourcing, roadmaps, and processes, as well as helping teams build. Security Partners communicate at the highest levels of the organization and use data-driven arguments to ensure resources are properly allocated and employed to address the most critical security and privacy risks.", "salary": "US$177,000/year to US$251,000/year + bonus + equity + benefits", "key_qualifications": "10+ years of hands-on security engineering experience in distributed infrastructure and/or network security. Technical experience across security disciplines. Experience communicating risks and roadmaps to senior leadership. Experience building relationships with stakeholders and business leaders. Self-motivated and experience thriving in an ambiguous environment. Proficiency with at least one scripting or coding language.", "preferred_qualifications": "10+ years of security domain experience in hands-on engineering work. Experience working on or managing projects that have enterprise-wide impact and/or multi-organization cross functional stakeholders. Experience leading and empowering teammates. Experience contributing to the security community (open source, academic research, industry research, blogs, presentations, etc.)", "responsibilities": "Discover needs and drive security solutions across one or more of Meta\u2019s business units. Represent the security organization in product strategy and roadmap development with PMs, TPMs and engineers. Build deep relationships with product and engineering leaders. Drive security risk decisions and initiatives, and influence technical architecture. Act as the primary liaison between the product/engineering teams and the Meta security team. Develop and maintain deep industry expertise in the assigned area(s).", "company": "meta"}
{"title": "Data Scientist, Product Analytics", "level": "", "location": "Sunnyvale, CA, Bellevue, WA, Redmond, WA, Menlo Park, CA, Seattle, WA, Burlingame, CA, New York, NY, San Francisco, CA, Remote, US", "description": "As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development\u2019s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.", "salary": "US$134,000/year to US$204,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. A minimum of 4 years of work experience in analytics (minimum of 2 years with a Ph.D.) Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.", "preferred_qualifications": "Masters or Ph.D. Degree in a quantitative field.", "responsibilities": "Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.", "company": "meta"}
{"title": "Electrical Engineer", "level": "", "location": "Shenzhen, China", "description": "At Meta Reality Labs, we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Electrical Engineer, you will take a critical role in developing hardware systems for AR and its New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than electrical engineering. Our ideal candidate has strong electrical engineering fundamentals, debugging skills, Orcad/Allegro fluency, manufacturing process knowledge, and experience designing consumer electronics.", "salary": "", "key_qualifications": "- 8+ years of system design or consumer electrical system design.\n- Bachelor or above degree in Electrical Engineering or equivalent field.\n- Proven knowledge of electrical engineering fundamentals.\n- Experience with schematic and board design using Cadence OrCAD, Altium or equivalent.\n- Effective communication, collaboration and partnership with colleagues, cross-functional partners in dynamic and evolving development environments.", "preferred_qualifications": "- Experience with analog/mixed signal IC design, fabrication, and validation process.\n- Experience in subsystem design of power and display interface (MIPI, eDP, etc)\n- Experience with display electrical subsystem design/testing/implementation and system integration, display validation.\n- Experience with EMI and ESD risks and mitigation techniques.", "responsibilities": "- Support the Smart Glasses electrical subsystem development, qualification and system integration from the concept phase to mass production.\n- Support system stakeholder for electrical system design, performing proving for various design options by designing the experiments.\n- Perform bring up, debug, troubleshooting.\n- Support SMT and FATP build.\n- Work with internal cross functional teams to establish display module system integration and analysis.", "company": "meta"}
{"title": "Fundamental AI Research Scientist, CoreML - FAIR", "level": "", "location": "Pittsburgh, PA | Menlo Park, CA | Seattle, WA | New York, NY", "description": "Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, optimization, reinforcement learning, representation learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.", "salary": "US$177,000/year 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. A PhD degree in AI, computer science, data science, or related technical fields. Experience holding an industry, postdoctoral, faculty, or government researcher position. Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas. Proven track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research. Experience in developing and debugging in Python or similar programming languages. Experience in analyzing and collecting data from various sources. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "Research and engineering experience demonstrated via publications, grants, fellowships, patents, work experience, open source code, and / or coding competitions. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, FacCT, CCS, IEEE S&P, and other similar venues. Experience in solving complex problems, proposing novel solutions, and comparing alternative approaches, trade-offs, and diverse points of view. Experience in leading, planning and coordinating long-term research projects in a team environment. Experience communicating research findings to public audiences of peers.", "responsibilities": "Perform research to advance the science and technology of intelligent machines. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities). Work towards long-term ambitious research goals, while identifying immediate milestones. Initiate and lead research projects within a team and collaborate with cross-functional partners. Influence progress of relevant research communities by producing publications. Open source high quality code and produce reproducible research.", "company": "meta"}
title: Fundamental AI Research Scientist, Computer Vision - FAIR
location: Menlo Park, CA | New York, NY | San Francisco, CA
description: Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI as well as applying AI to the Meta Platforms products. Individuals in this role are expected to be recognized experts in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning.
salary: US$143,000/year 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. PhD in computer vision and/or machine learning or related areas. 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
preferred_qualifications: First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH). 4+ year(s) of work experience in an industry, university, or government lab.
responsibilities: Develop algorithms based on state-of-the-art machine learning and neural network methodologies. Conduct research to advance the science and technology of intelligent machines. Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Contribute to and apply research that advances Meta Platforms products. Conduct and collaborate on research projects within a globally-based team.
company: meta
{"title": "Security Engineer - Surface Coverage, Detection Engineering", "level": "", "location": "Washington, DC | New York, NY", "description": "Meta Security is looking for a Security Engineer with experience in threat modeling, TTP identification, and detection engineering. You\u2019ll work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against Meta systems. You will be working across engineering teams supporting Production and Corporate systems to develop detection and response automation leveraging both industry-standard and custom detection and response platforms. You\u2019ll generate detection ideas utilizing some of the world\u2019s largest data sets and build on top of hyper-scale data pipelines.", "salary": "US$143,000/year to US$208,000/year + bonus + equity + benefits", "key_qualifications": "6+ years of experience in Detection & Response Engineering or similar Security Engineering role; Experience building complex automations and integrations using SOAR platforms; Bachelor's degree or equivalent experience in Security; Experience designing systems used for responding to both external and insider threats; Experience analyzing network and host-based security events; Knowledge of networking technologies, specifically TCP/IP and the related protocols; Knowledge of operating systems, file systems, and memory structures on Windows, MacOS and Linux; Coding/scripting experience in one or more general purpose languages; Experience with attacker tactics, techniques, and procedures", "preferred_qualifications": "Experience in security-focused software engineering, designing large scale systems and data pipelines, or offensive security; Experience in threat hunting including leveraging intelligence data to proactively identify and iteratively investigates suspicious behavior across networks and systems; Broad knowledge across the Security domain, as well as deep focus in one (or more) areas such as Logs and events processing, Incident Management, Digital Forensics, Offensive Security Testing, Detection and/or Response tooling development", "responsibilities": "Lead cross-functional projects to improve our capabilities to effectively detect and respond to security incidents; Review security architecture of large-scale custom and commercial systems and independently propose logging, detection and prevention controls; Perform TTP-based Threat Modeling for a wide variety of assets including endpoints, mobile, servers, internal services, public & private cloud environments and networking equipment; Perform analysis against logs from a variety of sources (e.g., individual host logs, network traffic logs) to identify potential threats and detection ideas; Build response workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate; Support security incident response in a cross-functional environment and drive incident resolution; Design and implement attack testing automation to validate detection coverage; Build logging pipelines using our custom datasets and infrastructure.", "company": "meta"}