vmal/jobs_dataset huggingface dataset:
{"title": "Program Manager, Compliance", "level": "", "location": "Dublin, Ireland", "description": "Meta People Group strives to run a great business and ensure that we comply with our regulatory and compliance obligations. Meta is seeking a Program Manager to develop and execute strategic programs that meet globally evolving employment regulation. Our organization is responsible for designing, implementing, monitoring, and maintaining Meta People Group\u2019s governance and compliance system. We develop frameworks and execute solutions that make certain that Meta's global offices meet their jurisdiction's employment compliance \u2014 all while maintaining Facebook\u2019s core culture. We partner with teams across People Operations, People Engineering, and Employment & Privacy Legal to build an industry-leading People compliance program. The Compliance Program Manager will join the People Risk, Privacy, Compliance (PRPC) team; leading programs to scale our global compliance coverage. HR compliance solutions developed will take into account the full life cycle, from understanding how new regulation will impact our business to measuring quality and reporting evidence to regulators. The ideal person will have proven risk management skills, systems thinking, attention to detail, be self-motivated, and have a collaborative and positive attitude.", "salary": "", "key_qualifications": "Demonstrate analytical skills, creativity, and experience working with attention to detail. Risk management or Compliance expertise. HR domain expertise. Program Management expertise. Working knowledge or willingness to quickly learn the content and requirements of various employment laws, regulations, industry guidance, and company compliance policies.", "preferred_qualifications": "Preferably 2nd line of defense risk management or internal audit experience within a Tech company. Experience in policy development.", "responsibilities": "Support the design, build and execution of industry leading first line of defense/second line of defense compliance management. Manage cross functional dependencies, risks, and changes effectively by optimizing scope, schedule, and resources. Develop and own communication plans to effectively and proactively convey program status, issues, and risks to stakeholders. Define and track key metrics and performance indicators that align cross functional execution of program deliverables. Drive process improvements across multiple teams and functions, including the reduction of manual efforts through automation. Manage relationships both internal and external to Meta People organization. Exercise excellent people skills. Be a team player with a bias to action.", "company": "meta"}
{"title": "Enterprise Engineer", "level": "", "location": "Warsaw, Poland", "description": "Infra Operations products & services team builds, operates and provide best-in-class operational products and services for monitoring, troubleshooting and remediation of Meta's infrastructure. Our products consistently influence the enterprise software industry by defining new standards for how our customers, internally and externally, relate to their daily work. We are looking for experienced Enterprise Engineers who share a passion for tackling complexity, coaching and mentoring others, while defining the strategy and vision that guide the team to develop complex transactional systems with high availability, data integrity, and reliability.", "salary": "", "key_qualifications": "BSc or MSc in Computer Science or related field (or equivalent industry experience). Experience owning projects from end-to-end. Experience building intuitive systems in Java, PHP, C++ or Javascript technologies such as ReactJS or AngularJS. Experience working with code bases building micro services, REST APIs, GraphQL. Experience modelling data flows between systems to enable complex workflows and upstream/downstream integrations. 7+ years of experience building scalable, distributed systems. 7+ years of demonstrated experience driving change within an organization and leading complex technical projects.", "preferred_qualifications": "Experience building and supporting production quality software. Experience with GenAI use cases. Experience with Data pipelines and troubleshooting data pipelines.", "responsibilities": "Communicate technology and product strategy effectively to both internal and external stakeholders and leadership. Build industry leading enterprise systems that are highly available, intuitive, scalable, and secure. Own product architecture and collaborate with product managers, designers and other engineers to set the technical direction and create software that optimises for business metrics. Produce highly reliable and performant code with appropriate monitoring and alerting. Follow release management policies to ensure data integrity, compliance and system stability. Analyse and improve efficiency, scalability, and stability of various system resources. Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices.", "company": "meta"}
title: ASIC Engineer, Design
location: Bangalore, India
description: Facebook is hiring ASIC Design Engineers within our Infrastructure organization. We are looking for talented individuals with deep experience that span one or more of the key areas required to build successful world-class complex SoC and IP for data center applications.
key_qualifications: 15+ years of silicon development experience; Track record of first-pass success in ASIC Development; Experience with Verilog or System Verilog; Experience in one of these skills: Micro-architecture and RTL development for complex control and data path IPs, OR Experience in SoC Micro-architecture, Design and Integration, OR Implementation, Power methodology development; Experience working across multiple projects; Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
preferred_qualifications: Experience in data path development; Experience in CPU, NOC, Memory and Peripheral Subsystems; Experience in HLS; Experience with Synthesis, Timing Closure and Formal Verification Methodology; Experience with Power Analysis and Optimization; Experience with scripting languages (TCL, Python, Perl, Shell-scripting)
responsibilities: Architecture exploration; Micro-architecture development; RTL development using Verilog, System Verilog and HLS; Lint, CDC, Synthesis, & Power Optimization; Soft and hard IP identification, selection and integration; Collaboration with verification and emulation teams in test plan development and debug; Collaboration with implementation team to close the design on timing and power.
company: meta
title: Software Engineering Manager, Product Infrastructure
location: Sunnyvale, CA | Remote, US | Bellevue, WA | Redmond, WA | Menlo Park, CA | Seattle, WA | Burlingame, CA | Washington, DC | New York, NY | San Francisco, CA
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: Demonstrated experience recruiting and managing technical teams, including performance management. 5+ years of software engineering work experience, including hands-on technical management building holistic web based software solution, API design, and interactions between servers and clients. 5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP. BA/BS in Computer Science (In lieu of degree, 4+ years work experience)
responsibilities: Be both highly technical, hands-on coder and an effective people manager. Communicate across functions and drive engineering initiatives. Participate in technical design. Be a subject matter expert in the infrastructure domain. Define and influence product strategy.
company: meta
{"title": "Strategic Partner Manager, Data Transparency and Research", "level": "", "location": "Austin, TX | Menlo Park, CA | Seattle, WA | New York, NY", "description": "The Data Transparency & Research Partnerships team is focused on building relationships within the academic community and finding solutions to enable research on Facebook or with the data for which we are stewards. They support the academic community in conducting most critical research concerning Facebook products including their impact on people and society. This team will work closely with researchers and associated academic institutions to onboard, manage, educate, and explore new opportunities to strengthen our researcher platform, api, and dataset offerings.", "salary": "US$159,000/year to US$223,000/year + bonus + equity + benefits", "key_qualifications": "5+ years of relevant work experience in partnerships, business development, product management, developer platforms, policy, research, and/or technology/internet media industry. Proven track record of reaching and exceeding partner growth and/or partner net promoter score. Experience in partner advocacy, expectation setting, collecting actionable insights, and adoption of product.", "preferred_qualifications": "MBA and/or other advanced degree. Advanced knowledge in the space of academia, research, policy, and/or platform development. Experience working with or in support of diverse researcher communities. Effective communication and interpersonal skills to manage across and up. Experience in designing scaled partner growth programs to upskill and/or educate on key topics. Experience negotiating contract terms and/or supporting contract development.", "responsibilities": "Execute partner strategy to support Researchers (and associated institutions) across Meta\u2019s research & dataset offerings. Build new frameworks to scale support and relationships with a large number of strategic research partners. Develop, plan and execute programs with researchers that help them achieve their research objectives via new api or dataset offerings and adoption of those offerings. Evangelize the research platform and policies with current and potential researcher partners. Gather and analyze large amounts of information quickly in order to solve ambiguous problems and drive decision-making effectively with Facebook executive teams. Manage KPIs (e.g., onboarding targets) and create new strategies build trust with this researcher community. Collaborate and communicate across large cross-functional teams and influence decision-making within leadership audiences. Work closely with members of product, engineering, policy, communications, legal, finance, human resources (among others) to execute, improve processes, and identify opportunities for improved efficiency.", "company": "meta"}
{"title": "Research Engineer - FAIR Core Learning", "level": "", "location": "Bellevue, WA", "description": "Meta is seeking a Research Engineer to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, generative models, reinforcement learning, computer perception, natural language processing. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.", "salary": "US$56.25/hour to US$173,000/year + bonus + equity + benefits", "key_qualifications": "Currently has or is in the process of obtaining a PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. One or more years experience in reinforcement learning and/or generative modeling. 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. Experience developing machine learning algorithms or machine learning infrastructure in Python and PyTorch. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.", "preferred_qualifications": "Industry research experience in reinforcement learning and/or generative modeling. 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. Publication track record at conferences such as NeurIPS, ICML, ICLR, etc. Software engineer experience demonstrated via an internship, work experience, coding competitions.", "responsibilities": "Develop highly scalable algorithms based on machine learning and neural network methodologies. Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and reinforcement learning. Apply knowledge of relevant research domains and coding skills to platform and framework development projects. Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).", "company": "meta"}
{"title": "Art Manager, Avatars Art Team", "level": "", "location": "Burlingame, CA | Remote, US", "description": "Meta's Avatars Art Team is looking for an Art Manager to lead the character look and feel of its Avatars products. This leader will support a group of multidisciplinary industry leading artistic talent, in creating Meta's upcoming digital representation products for the Metaverse. As an Art Manager within Avatars, you will coordinate and drive the art team\u2019s involvement and engagement with cross-functional groups within the Metaverse org and across the Family of Apps. Coming into this role, you will build strong executive relationships and partnerships across multiple internal cross functional groups including product, Engineering, Design, and more. You will oversee the creation of quality content, help our avatars be loved and used by billions of users. And most importantly, you will continue to grow our multidisciplinary, diverse art team.", "salary": "US$175,000/year to US$236,000/year + bonus + equity + benefits", "key_qualifications": "7+ years experience directly managing full-time artists, along with 7+ yrs developing and shipping character-based products in a game development, real-time rendering, or related technical environment. Demonstrated experience to manage the development, maintenance and documentation of art pipelines and vendor-based asset creation. Experience driving changes in operational processes and aligning teams to a strategic vision by solving conflicts and misalignments. Experience with roadmapping, budget management, and financial/performance tracking. Interest for supporting ICs and other managers to produce a collaborative environment, where individuals bring in their best to produce effective results. Effective communication, presentation and diplomatic skills.", "preferred_qualifications": "", "responsibilities": "Lead, manage, mentor, and grow a multidisciplinary team of Artists, Art Leads and Art Managers. Drive progress at people and project-facing levels by supporting team growth and prioritization, nurturing culture, building new partnerships, and more. Become a trusted strategic partner to product stakeholders and executive leadership by communicating and demonstrating the value of art, and by delivering insights that lead to demonstrable business value. Effectively influence key partner leaders to gain alignment in prioritization, resourcing, and budgeting. Engage with PMs, Designers and Engineer & Art Leads to define the art pipelines and components, scope and goals for key features within our various projects. Support managers, technical leaders, and the creative vision by communicating with executive leadership, and championing the team\u2019s needs to build a world-leading avatar system. Provide thought-leadership in establishing, implementing, and improving direction, goals, and processes for executing both near and long term vision. Make staffing decisions based on business priorities, both short term and long term, as well as team strengths and motivation. Build a diverse and inclusive environment across the team, model inclusive behaviors.", "company": "meta"}
{"title": "Postdoctoral Researcher, Central Applied Science, Adaptive Experimentation (PhD)", "level": "Postdoctoral", "location": "Menlo Park, CA, New York, NY", "description": "Meta is seeking a visiting postdoctoral researcher to join the Adaptive Experimentation team. The mission of the team is to do cutting-edge research and build new tools for sample-efficient learning and decision making (including Bayesian optimization) that democratize new and emerging uses of AI technologies across Meta, including Facebook, Instagram, and Reality Labs. Applications range from AutoML and optimizing Generative AI models, to automating A/B tests, to contextual decision-making to black-box optimization for hardware design.\n\nVisiting Researchers will be expected to conduct cutting-edge applied research at the intersection of Bayesian optimization, AutoML, and Deep Learning, while working collaboratively with teams across the company to solve important problems.", "salary": "US$56.25/hour to US$173,000/year + benefits", "key_qualifications": "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.\nCurrently has or is in the process of obtaining a PhD in the field of computer science, machine learning, statistics, operations research, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.\nExperience with developing and debugging in Python with PyTorch or related deep learning frameworks.\nResearch experience and a publication track record in at least one of the following: Bayesian optimization, active learning, probabilistic methods and/or deep learning.\nMust obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.", "preferred_qualifications": "Experience with Generative AI.\nExperience with causal inference and/or applied statistics.\nExperience disseminating new methods through open-source projects.\nDemonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).\nExperience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.\nExperience working and communicating cross functionally in a team environment.\nProven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, ICML, ICLR, JMLR, AAAI, UAI, KDD, AISTATS or similar.", "responsibilities": "Develop algorithms and models for adaptive experimentation.\nConduct research to advance the state of the art in Bayesian optimization, active learning, and/or Bayesian modeling.\nContribute to and apply research that advances Meta Platforms products.\nConduct and collaborate on research projects within a distributed team.", "company": "meta"}
{"title": "Product Manager, Machine Learning", "level": "", "location": "Menlo Park, CA | Seattle, WA", "description": "Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.", "salary": "US$202,000/year to US$277,000/year + bonus + equity + benefits", "key_qualifications": "10+ years product management or related industry experience with domain specific expertise in Machine Learning. 10+ years of experience working collaboratively with engineering, design and user research teams. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following: Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones. Experience delivering technical presentations. Experience in analyzing complex, large-scale data sets and making decisions based on data. Experience in gathering requirements across diverse areas and users, and converting and developing them into a product solution. Displaying leadership, organizational and execution skills. Proven communication skills.", "preferred_qualifications": "Experience defining vision and strategy for a product. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution. Experience with leveraging ML/AI to build large scale consumer products. Experience recruiting and leading a cross-functional team of world-class individuals. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.", "responsibilities": "Display strong leadership, organizational and execution skills. Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals. Incorporate data, research and market analysis to inform product strategies and roadmaps. Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health. Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.", "company": "meta"}