vmal/jobs_dataset huggingface dataset:
{"title": "Client Solutions Manager, Financial Services", "level": "", "location": "New York, NY | Chicago, IL", "description": "The Client Solutions Manager (CSM) for Meta's Global Business Group plays a crucial role in driving success by fostering strong client relationships and being an expert in platform, products, media strategy, and measurement for our Fortune 1000 advertisers. This position requires a consultative approach using data analytics to develop tailored solutions while closely collaborating with team mates and cross-functional partners to generate revenue and build relationships. To excel in this role, one needs high levels of consultative skills, analytical abilities, proactiveness, and a solution-driven mindset while working in a fast-paced, team-oriented environment under tight deadlines.", "salary": "US$29.81/hour to US$100,000/year + bonus + equity + benefits", "key_qualifications": "3+ years of experience in performance marketing and/or account management roles; Expertise in analyzing data from a variety of different sources (quantitative and qualitative), presenting the data in a clear and concise manner, and developing actionable insights; Effective presentation skills to senior executives", "preferred_qualifications": "Experience with business case modeling and market/opportunity sizing; Experience Meta\u2019s full suite of advertising solutions; Experience working cross-functionally with Product teams to improve products features and functionalities; Prior experience in Financial Services or Insurance categories", "responsibilities": "Oversee account operations (e.g. troubleshooting issues, account set up, etc.); Work and collaborate with diverse group of internal cross-functional teams to project manage complex workstreams; Drive proactive media & measurement strategy, implementation, and optimizations to increase performance and investments; Build and manage relationships with key clients and agency partners (media, creative, marketing partners, etc.); Act as a product & insights expert, in partnership with Client Partner, to identify and implement marketing solutions that drive measurable business results for our partners; Craft narratives and recommendations pairing custom insights with creative ideas for presentations to sr. business stakeholders; Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations; Serve as external product consultant educating clients and agencies on product solutions and best practices, and ultimately grow existing business partnership; Domestic travel up to 30% required", "company": "meta"}
{"title": "Fundamental Multimodal Research Scientist - Generative AI", "level": "", "location": "Menlo Park, CA", "description": "Meta is seeking a Research Scientist to join our Llama Applied Multimodal team. We are looking for recognized experts in generative AI, multimodal reasoning, NLP, with experience in areas like multimodal model training; data processing for pretraining and fine-tuning; LLM alignment; reinforcement learning for model tuning; efficient training and inference; image and video generation. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large multimodal models.", "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. PhD in computer vision, machine learning, NLP, computer science, applied statistics, or other related fields. Experience writing software and executing complex experiments involving large AI models and datasets. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "Direct experience in generative AI, computer vision and multimodal research. First author publications experience at peer-reviewed AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, EMNLP, and ACL).", "responsibilities": "Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. Work towards long-term ambitious research goals, while identifying intermediate milestones. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Work with a large team and contribute to publications and open-sourcing efforts. Mentor other team members. Play a significant role in healthy cross-functional collaboration. Prioritize research that can be applied to Meta's product development.", "company": "meta"}
title: Machine Learning ASIC Engineer, Architecture
location: Sunnyvale, CA | Austin, TX
description: Meta is seeking an ASIC Engineer, Architecture to join our Infrastructure organization. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. By holding 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 AI/ML and video codec experts in the company, help architect state-of-the art machine learning accelerators and contribute to modeling these accelerators. Come work and learn alongside our expert engineers to build 'Green' data center accelerators.
salary: US$136,000/year to US$203,000/year + bonus + equity + benefits
key_qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ experience in either silicon architecture, silicon modeling, performance architecture, kernel development, or building tools for silicon. Programming in C, C++, Python, or related Programming Languages. Experience and knowledge of Computer Architecture, or tools for silicon development. Experience and knowledge working in building custom silicon.
preferred_qualifications: Master’s or PhD degree in Electrical Engineering, Computer Engineering or related areas Experience driving power and performance trade-offs
responsibilities: Work on developing Data Center Machine Learning ASIC architecture, algorithms, models, or tools. Analyze and map data center workloads to ASIC architecture, as well as develop performance and functional models to validate the architecture. Implement various reference silicon architecture models needed for the validation of the accelerators.
company: meta
{"title": "Software Engineering Manager, AI Compiler", "level": "", "location": "Bellevue, WA | Menlo Park, CA | New York, NY", "description": "The MTIA (Meta Training & Inference Accelerator) Software team has been developing a comprehensive AI Compiler strategy and optimizing compiler toolchains. This enables training and inference of Meta\u2019s production DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way.\n\nWe are looking for a Software Engineering Manager who drives the compiler stack development & high performance compilers optimizations and tuning, specific to the MTIA AI accelerator hardware.", "salary": "US$177,000/year to US$251,000/year + bonus + equity + benefits", "key_qualifications": "Experience with compiler architecture and development, particularly ML compilers or DSLs or static/dynamic languages compilers. 2+ years of experience in managing a team of compiler engineers of varied skill levels. Experience with cross functional collaboration with hardware or AI framework teams. Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management.", "preferred_qualifications": "Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, HW architecture specific optimizations. Experience in compiling and code generation targeting ML accelerators or custom hardware, GPUs or CPUs. Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming. Experience with MLIR, or LLVM or IREE or XLA or Triton or TVM or Halide. Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.", "responsibilities": "Grow a team of domain experts within AI Compiler.\nCommunicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.\nOperate strategically and tactically. Develop vision, strategy and help set direction for the team.\nRemain up-to-date on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.", "company": "meta"}
{"title": "Clinical Research Coordinator, Health and Wellbeing", "level": "", "location": "Burlingame, CA | New York, NY", "description": "The Health Health and Wellbeing Team at Meta is seeking a Clinical Research Coordinator to support data collection. This role will work with a team of multidisciplinary stakeholders to support planning and execution of multiple levels of research and validation of novel approaches. The appropriate candidate can manage multiple aspects of research including aligning internal stakeholders (i.e. research teams, engineering, legal) and external partners (i.e. vendors, academic collaborators, IRB, regulators) to achieve concrete research and product goals. The ideal candidate brings a wealth of skill in executing high quality scientific research and also understands the goals and needs required to ship high quality digital products.", "salary": "US$116,000/year to US$166,000/year + bonus + equity + benefits", "key_qualifications": "Bachelor's degree or higher in an area requiring significant human subjects research. 2+ years of experience with clinical research in either academic and/or commercial settings, with a proven understanding of the study lifecycle and clinical research ecosystem. A proven knowledge and proficiency in navigating the sensitive issues around human subjects and clinical research in digital health. Technical expertise in study start-up, human subjects enrollment, consenting, data collection and data management. 4+ years experience working with multidisciplinary stakeholders such as research scientists, statisticians, product managers, software engineers.", "preferred_qualifications": "Strong technical experience in digital health and wearable technologies, skills to troubleshoot clinical research related issues. Familiar with software and hardware tooling, electronic data capturing systems that support clinical research studies. Experience in working with contracted research organizations.", "responsibilities": "Coordinate clinical technology validation studies, leading operational planning and day-to-day management of research execution. Serve as primary contact with research participants, vendors, and research leads. Coordinate studies from startup through close-out. Develop and manage data collection processes. Maintain research project databases, develop flow sheets and other relevant study documentation. Maintain research schedule, communicate study milestones and reporting to research team. Assist research team with Institutional Review Board (IRB) submission and compliance management. Align operational aspects of research with the needs of other internal stakeholders including engineering, legal, and product requirements. Assist research team with the assessment and implementation of new processes to gain efficiencies for study set up and administration. Travel at least 30%.", "company": "meta"}
{"title": "Research Engineer - Reality Labs", "level": "", "location": "Menlo Park, CA, Burlingame, CA, New York, NY", "description": "Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, AR/VR and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.", "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, Computer Engineering, or relevant technical field. Experience with developing machine learning models at scale from inception to business impact. Research experience in machine learning, deep learning, computer vision and/or natural language processing. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications.", "preferred_qualifications": "Ph.D. degree and publications in machine learning, speech and language technologies, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields. First-author publications at peer-reviewed AI or signal processing conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP). Comfort with rapid prototyping and disciplined software development processes. Experience with productizing new research results.", "responsibilities": "Research and develop Deep Learning or other computational models with at least one of Computer Vision, Natural Language Processing, and EMG signal processing. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets. Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques. Define short-term research goals, informed by practical engineering concerns. Help transition and deliver our work from research into product. Adapt standard machine learning and signal processing methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).", "company": "meta"}
{"title": "US Indirect Tax Director", "level": "", "location": "Menlo Park, CA", "description": "Meta is seeking a highly experienced and motivated US Indirect Tax Director to join Meta\u2019s state and local tax team. The successful candidate will be responsible for overseeing Meta\u2019s US indirect tax strategy, compliance, and reporting functions. This role requires deep knowledge of US sales/use tax laws and regulations, strong team management skills, and the ability to collaborate effectively with stakeholders across the organization.", "salary": "US$224,000/year to US$296,000/year + bonus + equity + benefits", "key_qualifications": "Graduate degree with emphasis in Tax, JD / LLM. 18+ years of progressive experience in US indirect taxes at multinational corporation, public accounting, or law firm. Comprehensive knowledge of US indirect tax laws and regulations across multiple jurisdictions. Proven track record of effectively directing and developing high-performing teams. Proven analytical, problem-solving, and decision-making skills, with the experience to navigate complex issues and provide clear guidance. Proven communication and interpersonal skills, with the experience to collaborate effectively with both internal and external stakeholders. Experience to thrive in a fast-paced environment, managing multiple priorities and adapting to evolving business demands.", "preferred_qualifications": "", "responsibilities": "Direct a team of US indirect tax professionals, providing guidance, training, and mentorship to ensure they have the resources to excel in their roles. Collaborate with cross-functional teams to provide guidance on US indirect tax implications for new products, services, and business initiatives. Monitor legislative and regulatory changes, identifying potential impacts, implementing necessary solutions, and supporting tax policy initiatives. Develop and implement US indirect tax strategies, ensuring full compliance with applicable laws and regulations. Oversee the preparation and timely filing of all US indirect tax returns, ensuring accuracy and completeness. Design, implement, and maintain internal controls and procedures to ensure accurate calculation, reporting, and payment of US indirect taxes. Establish and maintain strong relationships with tax authorities to facilitate effective audit resolution. Stay abreast of industry trends and best practices with the focus on continually seeking opportunities to enhance processes and drive efficiency.", "company": "meta"}
{"title": "Product Marketing Manager, Business Experiences", "level": "", "location": "Menlo Park, CA", "description": "At Meta, we make advertising meaningful for everyone: for people, and for the 7 million businesses who use our platform to connect with people across the Meta family of apps. We build tools that empower our advertisers and internal sales and marketing teams to help them drive economic value at scale. We're looking for an experienced leader who is passionate about technology, innovation and advertising to join our Product Marketing Team and shape and grow these types of internal and external tools. The Product Marketing Manager will be responsible for driving product requirements gathering, executing internal product launches and driving adoption across the tooling and interfaces our internal teams and external advertisers use. Must have a proven track record demonstrating strong analytical skills, strategic thinking, and decision making under uncertainty. He or she must thrive with cross-functional teams and exhibit excellent analytical and communication skills.", "salary": "US$158,000/year to US$223,000/year + bonus + equity + benefits", "key_qualifications": "BA/BS degree; 8+ years relevant work experience, with at least 2 years experience working in a product marketing or product management capacity (working with sales and or engineering leadership); Quantitative analytical experience and communication skills; Demonstrated problem solving skills with experience providing business insights and recommendations from multiple input sources (e.g. data sets, interview feedback, research)", "preferred_qualifications": "Master\u2019s degree; Demonstrated cross-functional leadership within a dynamic, rapidly changing environment; Background in online marketing, ad operations, analytics, customer relationship management, and/or strategy consulting", "responsibilities": "Lead market assessment, quantitative analysis, qualitative feedback, and represent the requirements of the market internally with Product Management and Engineering; Demonstrate a strong understanding of the broader Facebook ecosystem to develop strategic product direction and positioning; Lead market segmentation and opportunity assessment efforts to prioritize product opportunities for helping Facebook sales and marketing teams work more efficiently and effectively serve client needs; Plan and lead cross-functional efforts to drive successful product beta programs and launches; Drive product adoption and usage by developing and managing detailed, long-term adoption plans; Partner effectively with Product Management and all sales channels to create world-class product marketing communications, including all sales-facing materials and training", "company": "meta"}
{"title": "Marketing Sciences Partner", "level": "", "location": "Tel Aviv, Israel", "description": "The Marketing Science team at Meta in Israel is actively seeking a full-time, Marketing Science Partner based in Tel Aviv.\n\nIn Marketing Science, our mission is to help all businesses grow by transforming marketing practices grounded in data and science. We are specifically looking for a candidate with strong analytical and critical thinking skills and a passion for generating data-driven insights. You should have talent for taking complex concepts and distilling them into clear accessible formats. This role will challenge you to not only provide strategic direction to advertisers on their measurement efforts, but also to develop strategic insights for marketers.", "salary": "", "key_qualifications": "4+ years\u2019 experience in research, analytics, or ad effectiveness.\nA bachelor\u2019s degree in a quantitative field\nYou have experience building connections with customers and team members through effective communication and collaborating cross-functionally\nYou have experience inspiring action based on data-driven insights including influencing advertiser planning and buying behavior.\nYou have a track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner.", "preferred_qualifications": "An advanced degree in psychology, statistics, economics, behavioral or social science or a related field.\nYou have an understanding of online advertising and familiarity with branding and performance advertising and marketing frameworks, including ad effectiveness measurement techniques.\nYou have experience with statistical analysis, including but not limited to experimental design, modeling, or advertising research.\nYou are comfortable communicating complex topics to a non-technical audience.\nYou have experience in scaling data-based insights and learnings to broad audiences through appropriate channels.", "responsibilities": "You will work with a broad array of Facebook advertisers in measuring true business value and growing their businesses through Facebooks' ad platforms.\nYou will engage in client conversations, presentations of results and partner internally with cross functional and specialist teams to advise on marketing best practices using evidence based insights.\nYou will consult with clients and agencies on products and solutions for different needs and challenges as it pertains to media, marketing, or key measurement questions.\nYou will deliver training/education for internal and external audiences through dedicated sessions, webinars, and events.\nWhere appropriate, you will look to scale learnings and insights from your work with clients or through research to the appropriate internal/external audiences.\nAs opportunities arise, you will execute and/or lead key proactive programs that will help grow our advertisers' businesses (in partnership with product marketing and sales teams).", "company": "meta"}