vmal/jobs_dataset huggingface dataset:
{"title": "Payment Partnerships Manager, APAC Region", "level": "", "location": "Singapore", "description": "Meta is seeking a highly motivated, results-driven and talented Payments professional to work with the APAC team in optimizing payments for Meta and enabling new experiences and products for our clients and users. The ideal candidate will possess strong analytical skills, a deep understanding of cards processing and operations, local payment methods, the APAC payment ecosystem, and the ability to manage key relationships, both internally and externally, effectively. This is a position based in our Singapore office.", "salary": "", "key_qualifications": "7+ years of experience in the payments processing sector in APAC, ideally in a regional role. Proven track record leading payments optimization and anti-fraud programs, ideally for a digital merchant. Proactive, data-driven, strategic thinker with a passion for payments and new payment products. Excellent communication skills. Experience working in a cross-functional, collaborative organization.", "preferred_qualifications": "Working experience with acquirers, payment service providers, wallet providers and/or digital merchants in the APAC region is desired. MBA or MS Degree or equivalent experience.", "responsibilities": "Data Analysis and Reporting: Gather and analyze payments data to derive actionable insights. Prepare reports highlighting key performance metrics and improvement opportunities. Payments Optimization: Triage payments issues and work with partners and internal stakeholders to identify and resolve. Identify opportunities to streamline payment issues/operation workflows. Risk and Fraud Assessment: Analyze data to assess fraud impact across APAC countries. Coordinate with partners and internal stakeholders to align risk management strategies. Market Research and Analysis: Conduct comprehensive market research to identify trends, competitors, and growth opportunities. Relationship Management and Business Development: Manage relationships with payment partners including card networks, acquirers and key card issuing banks in the APAC region. Negotiate local deals and sign contracts with payment partners. New Product Development: Support product and engineering teams in new product development by providing local payments knowledge and enabling local payment partnerships.", "company": "meta"}
title: Application Manager, Workday
location: Austin, TX, Menlo Park, CA, New York, NY, Fremont, CA
description: Application Managers leverage Workday to power the foundational experiences and products Meta employees interact with every day. In partnership with business leaders, product, and engineering teams, you will have the opportunity to shape the technical landscape across the Core HR pillar.
salary: US$140,000/year to US$195,000/year + bonus + equity + benefits
key_qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ years experience configuring Workday HCM, with demonstrated functional and technical experience. 3+ years experience supporting related Workday products including Learning, VMS, Recruiting, Benefits, Prism, or Advanced Compensation. Domain expertise and experience translating business objectives into technical solutions. Experience harmonizing first-party and third-party technical environments. Experience proactively focusing on quality and scalability in a move-fast culture
preferred_qualifications: Workday Pro certifications in relevant tracks. Experience defining operational governance and SLAs for tier 1 support teams. Sophisticated understanding of different integration mechanisms and custom tools leveraging Workday APIs.
responsibilities: Plan, lead, and execute cross-functional initiatives in Enterprise Products. Continuously elevate the employee experience and optimize interactions with Workday. Advocate for Workday platform opportunities and best practices across a landscape of HR products. Build consensus with decision makers on product and surface strategy. Lead the research, design, configuration, testing, and deployment of new Workday capabilities.
company: meta
{"title": "Quality Measurement Specialist - German", "level": "", "location": "Dublin, Ireland", "description": "The Global Quality Expert Review team drives accountability for operational excellence, quality metrics, continuous improvements, and lead the implementation of our quality systems at scale within a global network of vendors supporting content moderation. We partner directly with the vendors on quality metrics delivery, root cause analysis and drive cross functional alignment on action plans to drive improvements. We are looking for a passionate problem solver who is comfortable taking on new challenges, a strong communicator who embraces continuous learning, and a strategic thinker who can understand Meta\u2019s overall integrity ecosystem. Successful candidates for this team are driven, adaptable, creative, proactive, and action oriented. They demonstrate a growth mindset and can successfully contribute to initiatives across various teams, countries and time zones.", "salary": "", "key_qualifications": "Bachelor's degree and/or masters or equivalent experience. Fluency in written and conversational English, German are essential. Strong analytical and creative problem-solving skills with excellent attention to detail. Passion for supporting the Facebook and Instagram community. Ability to work with potentially graphic and objectionable content. Self-starting, intellectually curious and creative individual comfortable operating in a fast paced, ever changing environment. Excellent communication and collaboration skills.", "preferred_qualifications": "Technical and data skills such as Excel and SQL and experience with visualisation tools such as Tableau to drive efficient analytics and reporting", "responsibilities": "Perform expert review of content and ads on Meta\u2019s platforms against a set of guidelines. Gather and deliver market specific insights Meta\u2019s platforms and use it to develop tailored recommendations to improve Meta\u2019s Integrity outcomes. Communicate market specific insights to cross-functional partners to collaborate and improve our policies, processes and tools. This role may involve exposure to potentially graphic and/or objectionable content including but not limited to graphic images, videos, audio and writings, offensive or derogatory language, and other potential objectionable material, i.e. child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing. Partner with vendor operations to ensure that performance feedback is being shared with relevant teams and proactively track the impact and success of remediation plans. Develop and share subject matter expertise across areas of safety abuse and/or account support at global level. Contribute to projects that increase the effectiveness and efficiency of the Quality Expert Review team.", "company": "meta"}
{"title": "Network Threat Detection Engineer", "level": "", "location": "Denver, CO | Reston, VA | Menlo Park, CA | Washington, DC", "description": "Meta\u2019s Network Threat Detection team is seeking an experienced engineer to help secure the infrastructure that connects over a billion users. You will be responsible for building, implementing and operationally supporting network detection efforts throughout our entire infrastructure. We are looking for a candidate with a passion for security and innovation, who will research and develop new solutions to help protect our infrastructure and our users.\n\nThis candidate should thrive on finding security issues and eradicating them as well as a desire to make life hard for the bad guys. With focuses that range from signal development, data pipelines, data enrichment, detection engineering & security tool development. We defend against internal and external attacks and our scope delivers great opportunities to push your skills further while having a significant impact.", "salary": "US$143,000/year to US$208,000/year + bonus + equity + benefits", "key_qualifications": "5+ years of experience in offensive/defensive security or systems engineering. 3+ years of development experience in at least one programming language (Python, Go, etc.) with experience applying that to security tool development, automation, and overall programmatic solutions that will be used to defend infrastructure. Knowledge of network protocols (TCP/IP, computer networking, routing and switching) and Unix based systems. Experience researching, building, and implementing defensive security systems that are used against internal and external attack vectors. Experience designing and building out application and network security monitoring to aid in detection or forensic investigations. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.", "preferred_qualifications": "Background in intrusion detection, security investigations, and incident response. Understanding of MITRE ATT&CK Framework and associated threat actor techniques. Experience investigating network-based data for anomalies in order to identify suspicious behavior. Experience \u201cthreat hunting\u201d, i.e. using threat intel to proactively and iteratively investigate these potential risks and finding suspicious behavior in the network.", "responsibilities": "Iterate network security posture to better protect against attacks and detect new vectors. Develop automation and utilize frameworks to scale both protection and mitigation tools. Mentor and evangelize security practices through cross functional work with engineering teams throughout Meta. Keep Meta safe through active operation and defense of critical network infrastructure. Apply security expertise to guide the teams direction. ensure we're collectively working on the most impactful projects.", "company": "meta"}
title: Software Engineering Manager, Machine Learning
location: Sunnyvale, CA | Bellevue, WA | Menlo Park, CA | Seattle, WA | Washington, DC | New York, NY | Remote, US
description: Facebook is in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility.
salary: US$177,000/year to US$251,000/year + bonus + equity + benefits
key_qualifications: 5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain; 5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP; Demonstrated experience recruiting and managing technical teams, including performance management; BA/BS in Computer Science (In lieu of degree, 4+ years work experience)
responsibilities: Be both highly technical and an effective people manager; Be a subject matter expert in an ML domain; Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area; Work with your team and cross functional partners to define and influence strategy; Drive roadmap creation and execution; Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level; Participate in technical design; Measure the impact of your team and set clear expectations and goals; Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes; Partner with leadership to influence and drive org design, contribution and prioritization
company: meta
{"title": "SW Technical Program Manager, Mixed Reality OS Release", "level": "", "location": "Sunnyvale, CA | Burlingame, CA | New York, NY", "description": "Are you looking to shape the future of computing? Meta Reality Labs is bringing together cutting-edge research and engineering to deliver products and experiences for the future of immersive computing and connecting humans with entertainment, information, and each other. Meta Reality Labs is building software for all realities - Augmented or Virtual or Mixed for billions of users across the globe. \n\nOur team is expanding and we\u2019re looking for experienced SW TPM, MR OS Release to help manage our MR OS software releases.", "salary": "US$134,000/year to US$196,000/year + bonus + equity + benefits", "key_qualifications": "B.S. in Engineering, Computer Science or a related technical discipline, or equivalent experience. 7+ years of software release management, systems engineering, hardware engineering, software engineering, or technical product/program management experience. Proven track record of successfully managing software releases for complex products or platforms at significant scale. Proven project management skills with demonstrated experience managing cross-functional programs in a matrix organization covering a range of areas. Effective communication and interpersonal skills, with the Experience to work effectively with cross-functional teams. Experience with release management tools and systems. Experience working in a fast-paced and dynamic environment. Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership. Experience in leading complex execution across multiple teams in different time zones, anticipating roadblocks and creating a path forward. Analytical and problem-solving experience with large-scale systems. Communicator who can translate high-level goals into tangible action plans, and vice-versa & expertise communicating with technical and non-technical stakeholders.", "preferred_qualifications": "Experience working with AOSP. (Preferred but not required)", "responsibilities": "Plan, coordinate, and execute software releases for our products. Facilitate release plans and schedules in collaboration with cross-functional teams. Facilitate communication and coordination between development, quality assurance, product management, and other stakeholders to ensure successful software releases. Monitor and report on release progress, including risks and issues, and take necessary actions to mitigate them. Develop and maintain release processes, procedures, and documentation. Drive visibility, accountability, and execution across their areas of software development for the organization. Resolve conflicts, maintain clarity on priorities and drive progress on execution. Stay up-to-date with industry trends and best practices related to release management. Find ways to achieve efficiencies in the release process through technology.", "company": "meta"}
{"title": "Postdoctoral Researcher, Reinforcement Learning (PhD) - Paris", "level": "", "location": "Paris, France", "description": "Meta is seeking a Postdoctoral Researcher to join a reinforcement learning team at FAIR, our world-class research lab. We are seeking individuals to work with our reinforcement learning team to build novel algorithms grounded in solid principles that can scale to efficiently solve complex real-world problems. Our research spans different aspects of reinforcement learning with particular focus on unsup/self-supervised RL to build behavioral foundation models. The candidate should have a solid background in machine learning and reinforcement learning, with experience in building and managing complex reinforcement learning pipelines at scale.", "salary": "", "key_qualifications": "Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Computer Science or similar. Degree must be completed prior to joining Meta. Effective programming skills. Solid background on the foundations of reinforcement learning. Experience in working on complex machine learning code bases at scale. Experience collaborating within a research team to solve complex problems. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CoRL, ICRA, AAAI, AAMAS or similar). Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions. Experience in creating high-performance implementations in deep learning frameworks (such as pytorch, tensorflow), C, C++, Python Experience working and communicating cross functionally in a team environment. 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": "Collaborate with the research supervisor and the team to devise novel behavioral foundation models that enable agents to solve a wide range of problems with little to no retraining. Design and implement algorithms, train state of the art models on large data, and evaluate their performance. Share research advancements through publications, libraries, models, or demos.", "company": "meta"}
{"title": "ASIC Engineer, Firmware", "level": "", "location": "Bangalore, India", "description": "As an ASIC Engineer, Firmware, you will architect, design, build and test embedded firmware systems for future ASIC platforms. In this role, you will participate in the definition of architecture and implementation of designs in both prototype and final products as well as demonstrate good development practices and seamless collaboration. Our team delivers complete BootROM to low-level device drivers and RTOS based platform firmware", "salary": "", "key_qualifications": "B.S. degree in Computer Science or Electrical Engineering or equivalent experience; 12+ years of experience in embedded system development, including programming in C for development, debugging, testing and performance analysis; Experience in BootROM, bootloaders and secure boot development; Experience in platform firmware development for complex SoC's; Experience working with embedded hardware platforms and exposure to concepts such as clock-level issues, interrupts, and polling", "preferred_qualifications": "Demonstrated expertise in developing with RTOS (preferably Zephyr) and embedded Linux; Experience in peripheral drivers like PCIe, UART, I2C, SPI is plus; Experience in Python or any other scripting language for tooling, test automation is a plus; Experience leading complex features or projects across multiple teams; Experience with lab instrumentation such as oscilloscopes, logic/protocol analyzers for debugging embedded systems at hardware level; Experience delivering end to end product solution; Demonstrated expertise in one or several of the following areas - SoC block understanding, board bring-up", "responsibilities": "Design and develop secure bootloader for next-gen data center chips; Lead the design and development of embedded software engineering activities and provide technical leadership and guidance to team members; Analyze, design, develop, and debug firmware for a wide variety custom SoC for data center solutions; Be a go-to person to escalate the most complex development, performance and evaluation issues that require in-depth knowledge of product-focused firmware development; Support all phases of hardware development \u2013 including early architecture requirements definition for custom silicon, firmware architecture, implementation, simulation, FPGA debug, chip bring up and support systems and software teams on algorithm development on validated systems; Play a critical role in the definition and execution of long-term roadmaps in partnership with silicon architects, hardware designers, OS team, and algorithm and model development teams; Understand and implement power-management, boot loaders, scheduling, inter-processor communication, firmware/system interfaces on RTOS and/or bare-metal environments", "company": "meta"}
{"title": "Postdoctoral Researcher, FAIR", "level": "", "location": "Pittsburgh, PA | Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA", "description": "Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as speech, multimodality, artificial intelligence and machine learning. The ideal candidate should have a keen interest in producing new, open science to further advance multimodal language modeling research. Postdoctoral positions are one to two year fixed-term positions.", "salary": "US$117,000/year to US$173,000/year + benefits", "key_qualifications": "Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Speech, Multimodality, Natural Language Processing, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience in deep learning frameworks (such as PyTorch, TensorFlow), C, C++, Python. Experience in AI frameworks like Hugging Face or other systems. Experience in training and use of language models and Transformers. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences (NeurIPS, ICML, ICLR), Speech (Interspeech, ICASSP) and NLP (ACL, NAACL, EMNLP). 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": "Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). Experience building systems based on machine learning and/or deep learning methods. 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. Research experience in machine learning, representation learning, optimization, statistics, applied mathematics, or data science.", "responsibilities": "Perform research to push the scientific and technological frontiers of multimodal language modeling. Invent/improve novel data-driven paradigms for multimodal generation. Enable reasoning with multimodal understanding and generation systems. Develop the next generation of platforms for AI & multimodal research.", "company": "meta"}