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*UPGRADE IN PROGRESS* -- CareerCircle is upgrading its capabilities and as a result the system may be temporarily unavailable as we bring new capabilities and infrastructure online to better serve our members.&nbsp; If you receive an error during this timeframe please bear with us as we're working to improve our system and you may need to retry that operation at a later time.&nbsp; &nbsp;

Why Choose Us? We are Waste Connections, an integrated services company that provides solid waste collection, transfer, disposal and recycling services to local residents and businesses throughout the U.S. and Canada. We're proud to be a different kind of company with a different kind of culture. One where self-directed, empowered employees have our trust and full support to realize their potential as they strive to make a bigger and better impact on their communities and careers every day. Our priority is to make sure we hire safe equipment operators that care about the safety of our team and the service provided to our customers. As a heavy equipment operator with us the minimum responsibilities are:<ul><li>Operating heavy equipment such as: bulldozers, wheel loaders, motor grader, scraper, and compactors.</li><li>Performing routine inspection and maintenance on equipment.</li><li> Promoting continuous improvement of workplace safety and environmental practices. </li><li>Interacting with customers and Waste Connections employees to determine safe and environmentally sound solutions to service issues.</li></ul>What we need from you:<ul><li> 2+ years' experience running heavy equipment </li><li> Knowledge of heavy equipment operation and maintenance. </li><li> Ability to read, understand, follow, and enforce safety procedures. </li></ul>What you'll get from us:<ul><li>Competitive Compensation</li><li>401(K) with company match; let us help you save for your future</li><li>Healthcare; Medical, Dental, Vision</li><li>Perks, perks, perks! Employee Assistance Mental Health Program, Emergency Travel Assistance, Prepaid Legal Plan, Scholarship Opportunities for kids, Employee Stock Purchase Plan, Employee Relief Fund</li><li>Insurance: Life, Short Term/Long Term Disability</li></ul>Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

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Heavy Equipment Operator

Our UX Research team is designing for the global diversity of human needs, which requires us to deeply understand the behaviors of the people behind them. Our researchers tackle some of the most complex challenges to gain deeper insights into how people interact with each other and the world around them, and work collaboratively to contribute new ideas to products that impact the experiences of billions of people on a global scale. This job description represents different full-time roles across Meta.We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews. We value a diverse range of perspectives and stem from many different backgrounds.We're looking for excellent communicators who are knowledgeable about research devoted to understanding people, and curious about the relationship between technology and society. They will also need to be comfortable in a fast-moving organization, open-minded about learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta. UX Researcher, Qualitative Responsibilities: <ul><li>Work closely with product and business teams to identify research topics</li><li>Act as a thought leader in the domain of research, while advocating for the people who could use our products</li><li>Design and execute end-to-end custom primary research using a wide variety of methods</li><li>Design studies that address both user behavior and attitudes</li><li>Ability to work independently and autonomously</li><li>Effectively manage and prioritize research plans through ambiguous and fast-changing environments, align and efficiently execute critical insights and work with a large group of stakeholders</li><li>Communicate results and illustrate suggestions in compelling and creative ways</li><li>Work cross-functionally with design, product management, content strategy, engineering and marketing</li><li>Generate insights that both fuel ideation and evaluate designs</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree with 7+ years of relevant experience within user experience, applied research setting and/or product research and development, Master's degree and 5+ years relevant experience, or a PhD with 2+ years of relevant experience</li><li>Experience conducting In-Depth Interviews or Focus Groups and Concept Testing or Usability Testing</li><li>Interest in and experience executing hands-on, primary research</li><li>Experience translating research findings into strategic narratives</li></ul>Preferred Qualifications: <ul><li>Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics</li><li>Experience with consumer products, consumer insights, or product development</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

UX Researcher, Qualitative

At Meta, we're shaping innovative experiences in service of giving people the power to build community and bring the world closer together. Our multidisciplinary design teams are creating new ways to help people connect, find communities and grow businesses. Together, we are committed to building innovative technologies - Facebook, Instagram, Messenger, WhatsApp, Workplace, Meta Quest and more - to serve billions of people around the globe. As a product designer at Meta, you'll have the opportunity to play a central role in the way we build technologies - ensuring they are valuable, easy to use and of the highest level of craft and execution. You'll be involved in every aspect of the product development process, from brainstorming the next great product innovation to tweaking pixels right before launch. We'll expect you to utilize your full range of product design, interaction design and visual design skills, while contributing to high-level strategic decisions with product and executive partners. Join a diverse group of thinkers and do some of the most meaningful work of your career. This posting represents different full-time roles across the Meta company. Product Designer Responsibilities: <ul><li>Take broad, conceptual ideas and turn them into something useful and valuable for our 2 billion plus users</li><li>Design flows and experiences that simplify and distill down complex actions into usable interfaces</li><li>Design new experiences or layouts that evolve and define visual systems</li><li>Contribute to strategic decisions around the future direction of Facebook products</li><li>Give and solicit feedback from designers and a broader product team in order to continually improve for quality</li><li>Drive a partnership with product managers, engineers, researchers and content strategists in order to oversee the user experience of a product from conception until launch</li><li>Willingness to represent work to a broader product team and other leaders, clearly and succinctly articulating the goals and concepts.</li></ul>Minimum Qualifications: <ul><li>4+ years of experience building and shipping multiple features that are broad/ambiguous in scope and encompass an end-to-end experience across a variety of platforms.</li><li>4+ years of interaction design experience with knowledge to define how an experience should behave based on understanding people's needs, plus consideration of how this product will scale. Use appropriate prototyping tools to demonstrate how a particular flow or interaction will work.</li><li>4+ years of visual design experience with proficiency in typography, desktop/mobile UI, color, layout, iconography and aesthetic sense and how these elements impact product function.</li><li>4+ years of strategic product thinking with experience in developing product goals, identifying opportunities, and making decisions based on the impact to people and the company.</li></ul>Preferred Qualifications: <ul><li>Experience connecting your work with other related initiatives across the company while driving collaboration</li><li>Examples of leadership in non-product dimensions that have made a team stronger and positively impacted the work environment such as taking on mentorship opportunities</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Product Designer

As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs). By applying your Machine Learning knowledge and 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's biggest challenges in ML systems through insights as well as prototyping ML solutions. 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. In contrast to most ML engineering roles, ML in product analytics allows you to work out ML solutions for broader less defined problems where you can use not just ML knowledge but also strong analytical skills to break down complex problems into well-learnable parts.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches including Machine Learning to test them. You will research challenging ML questions to inform experimentation and can build ML prototypes. .Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Data Scientist, Product Analytics - Machine Learning Responsibilities: <ul><li>Partner with cross-functional engineering and product teams to derive quantitative understanding of Meta's ML infrastructure and ML applications to inform future strategy and design ML solutions for complex problems.</li><li>Define, understand, and test opportunities and levers to improve the product through ML models and applications, and drive ML-modeling roadmaps through your insights and recommendations.</li><li>Build ML prototyping solutions.</li><li>Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.</li><li>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.</li><li>Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.</li><li>Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.</li><li>Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.</li></ul>Minimum Qualifications: <ul><li>A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) with a focus on one of the following: ML Modeling, Ranking, Recommendations, or Personalization systems</li><li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li><li>Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets.</li><li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li></ul>Preferred Qualifications: <ul><li>Masters or Ph.D. Degree in a quantitative field.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Data Scientist, Product Analytics - Machine Learning

Every day we strive to provide the best possible experience to our users that are now numbered in billions, and to make that possible, we have deployed an ultra-high capacity backbone network that spans the globe. We are looking for a Network Capacity Manager, Planning to join our Backbone team to support the expansion of our global network. This is an ideal role for a Capacity Manager who will be responsible for developing a network growth plan and be closely connected to the realization and deployment of the plan. Network Capacity Planner Responsibilities: <ul><li>Model and simulate network demands into a Capacity & Topology Plan for our Backbone (intra and inter DC/POP).</li><li>Work with large, complex data sets around the Facebook data infrastructure and solve difficult ad-hoc analysis problems.</li><li>Translate Layer 3 topology plan into engineering design packages by analyzing, distilling and publishing High Level Plans and Low Level Designs.</li><li>Develop, communicate, and coordinate network contingency plans and capacity augments.</li><li>Influence, asses, and support the development of new network hardware (IP and/or Optical) initiatives and evolving network topologies, identify areas of efficiency gain.</li><li>Lead incident response, postmortems, and production improvements that result in automated workflows and better detection/mitigation of network capacity constraints.</li><li>Develop framework for end-to-end availability and performance measurement of uptime of critical services and key network performance metrics.</li></ul>Minimum Qualifications: <ul><li>Minimum of 5 years of experience in Network Operations, Deployment and/or Network Planning for large web-scale or equivalent network.</li><li>Knowledge of network infrastructure, including equipment and design principles for resiliency planning.</li><li>Experience in statistical data analysis (e.g. R, Python) and data-base languages (SQL).</li><li>Experience analyzing large data sets related to network engineering (network demand, utilization, deployment timelines) to discern key inputs, retain, and use data that highly impacts decisions.</li><li>Effective communication, experience explaining complex problems to partner teams.</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Experience with use of network planning and inventory tools.</li><li>Experience with both terrestrial and submarine networks.</li><li>Preferred BS or MS in Engineering, Computer Science, or related field.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Network Capacity Planner

The VR Hardware Systems Engineering Lead is a technical leadership role responsible for driving innovation and overseeing the entire new product development cycle, from concept to scale, for VR devices. Working directly under the Head of Hardware, this individual contributor collaborates with cross-functional leaders in electrical engineering, mechanical engineering, display, optics, system architecture, systems engineering, product management, Industrial design, XRTech, Software manufacturing and Operations. They must have a proven track record of successfully shipping products, demonstrating technical depth, and possessing strong interpersonal and communication skills. VR Hardware Systems Engineering Lead Responsibilities: <ul><li>Lead hardware and technology teams through all phases of engineering design, development, and validation to bring complex VR products to mass production.</li><li>Establish strategic relationships with product peers in engineering, research, business, design, and user research teams to define product requirements and architecture.</li><li>Provide technical ownership and guidance to make crucial hardware product decisions, enabling the realization of cutting-edge VR devices for Meta's users.</li><li>Collaborate effectively across all levels of management and individual contributors both internally and externally.</li><li>Drive business results, optimize overall business objectives, and foster an environment of collaboration and innovation.</li></ul>Minimum Qualifications: <ul><li>Bachelors degree in Electrical Engineer, Mechanical Engineering, Computer Engineering or relevant industry experience</li><li>10+ years of experience in hardware product development, with an experience in track record of successfully shipping products to market.</li><li>Experience with multiple full life-cycle product launches</li><li>Proven Technical expertise in one of the following hardware disciplines, including electrical engineering, mechanical engineering, display, optics, and systems engineering.</li><li>Proven leadership skills, demonstrating the experience to lead cross-functional hardware and technology teams throughout the entire product development cycle.</li><li>Effective communication skills, to articulate complex technical concepts and drive alignment on product requirements and architecture.</li></ul>Preferred Qualifications: <ul><li>15+ years of direct relevant experience</li><li>Previous AR/VR or Wearables experience</li><li>Previous Display and Optics experience</li><li>Ph.D. degree in Electrical Engineering or related field</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

VR Hardware Systems Engineering Lead

As part of Meta Security, our Insider Trust team is focused on identifying and responding to insider threats to data. The team's mission is to identify malicious use of otherwise legitimate access to data from people inside the company and respond to it before damage is done. We investigate across a broad spectrum of abuse including abuse of user data, intellectual property, and leaks of sensitive information. We collaborate with software engineering teams to build advanced detection capabilities and understand how abuse happens so that we can stay ahead of those who are interested in misusing their access. The Insider Trust team is looking for a highly motivated Security Engineer to build and improve internal tools and systems to detect malicious activities related to insider threats. Candidates are expected to analyze and monitor internal tools, hunt for insider threats against company data and infrastructure, and and have the ability to carry out complex internal investigations from collection to reporting. As part of the role, this person will work side by side with our engineering teams to build advanced detection solutions to help keep systems and information safe, and partner closely with our Human Resources and Legal teams to carry out complex investigations. We are looking for people that have a strong technical background, experience with computer forensics, data analytics, system and network administration, and the ability to build tools and/or automate tasks. Security Engineer, Insider Trust Responsibilities: <ul><li>Lead cross-functional projects to improve our capabilities to effectively detect and respond to internal threats and security incidents</li><li>Leverage threat modeling and analysis to build event and/or behavioral based detections to protect our critical assets and infrastructure</li><li>Perform analysis of logs from a variety of sources (e.g., individual host logs, network traffic logs) to identify potential insider threats</li><li>Build operational workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate</li><li>Identify gaps in our infrastructure, and work with software engineers, product managers, and business partners to gain visibility through logging and detection</li><li>Perform live response, digital forensics, and analysis of a wide variety of assets including endpoints, mobile, servers and networking equipment</li><li>Conduct insider trust investigations in a cross-functional environment and drive incident resolution</li></ul>Minimum Qualifications: <ul><li>3+ years experience in an incident response and/or detection engineering role</li><li>3+ years programming experience with at least one of the following languages: Python, Python, PHP, and/or C++.</li><li>2+ years experience writing detection rules using anomaly based methods</li></ul>Preferred Qualifications: <ul><li>Master's degree in Computer Science/Engineering</li><li>Networking and system administration experience of server (Linux, Windows) and client (Windows, macOS, Linux) operating systems</li><li>Familiarity with multiple forensic tools (e.g. SIFT Workstation, Sleuthkit, F-Response Enterprise, EnCase, FTK, Cellebrite, X-Ways, Volatility, or open source tools) to perform analysis and/or memory collection</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Security Engineer, Insider Trust

Meta is seeking a Research Scientist to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Scientist on the Embodied AI team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, AR, and VR, and sharing this research with the world. You will be responsible for pushing the state of the art in dexterous robot manipulation, by developing novel representation learning algorithms to improve a robot's sense of touch. Research Scientist, Computer Vision - Embodied AI (FAIR) Responsibilities: <ul><li>Conduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing capabilities on robot hands.</li><li>Design and conduct experiments, analyze data, and document the findings in the form of technical reports and publications.</li><li>Collaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findings.</li><li>Write high quality, readable code that can be used and built upon by team members and the research community when open sourced.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Currently has, or is in the process of obtaining a PhD degree in Computer Science, Robotics, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Experience with programming languages such as Python, C++, or similar.</li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>2+ year(s) of work experience in an industry, university, or government lab</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), or Computer Vision (CVPR, ICCV, ECCV).</li><li>Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.</li><li>Experience with the following: representation learning, self-supervised learning, transfer learning, robotic manipulation, tactile sensing.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Scientist, Computer Vision - Embodied AI (FAIR)

As a Product Design Prototyper on the Reality Labs team, you will be working on the cutting edge of Virtual and Augmented Reality experiences. With our team, you will explore, prototype, and build experiences that define the future of how people interact with wearable technology. Join a world-class team experimenting with bold ideas in areas including optics, haptics, tracking, displays, computer vision, user experience, audio, perceptual psychology, and generative AI. Work alongside expert Scientists, Mechanical Engineers, Electrical Engineers and Software Engineers to create the technology that makes AR/VR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. You'll be responsible for researching, designing and prototyping interactions for RL. You'll work closely with engineers, designers, and researchers at Reality Labs. Product Design Prototyper Responsibilities: <ul><li>Define and synthesize user requirements</li><li>Help establish design processes to align cross-functional teams</li><li>Contribute to strategic decisions, working with engineering and research teams</li><li>Design and create user experience prototypes and individually contribute to the feature set</li><li>Establish pipelines & best practices for leveraging ML / AI models in prototypes</li><li>Work with user research to user test and iterate on the prototypes</li><li>Give and solicit feedback from others to raise the quality and craftsmanship of the product</li><li>Partner with PMs, engineers, researchers and content designers, overseeing the implementation of the user experience</li><li>Quickly solve issues with your cross-functional leads</li><li>Clearly articulate design decisions to a vast set of internal stakeholders</li><li>Help build product strategy</li><li>Advocate for product design within Facebook</li><li>Thrive in dynamic, fast-paced environments</li></ul>Minimum Qualifications: <ul><li>Experience thinking at a high level about product strategy and vision</li><li>4+ years of experience in shipping software products</li><li>Design skills and experience leading in cross-functional environments</li><li>Knowledge of qualitative and quantitative methods for user research</li><li>Portfolio featuring examples of interaction and prototyping work</li><li>Experience prototyping experiences leveraging ML / AI models</li></ul>Preferred Qualifications: <ul><li>Experience coding in Unity with C# or C++</li><li>Experience working with researchers</li><li>Experience building prototypes in short timeframes</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Product Design Prototyper

The XR People Generation team works in collaboration with Reality Labs Research partners in order to deliver the future of communication - photorealistic telepresence via Codec Avatars. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by researching, developing and productionizing state-of-the-art methods in cross sections of computer graphics, computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, neural rendering, depth sensing, 3D reconstruction, character animation and rendering. AI Research Scientist, Computer Vision - XR People Generation Responsibilities: <ul><li>Conduct applied research and develop novel, accurate AI algorithms and advanced systems for large scale applications</li><li>Work on large initiatives or multiple projects of high complexity/scope and define clear long term objectives with short and medium term goals</li><li>Collaborate with different cross functional teams in research and product sides</li><li>Give technical research direction to the team as tech lead</li><li>Mentor other researchers in the team</li><li>Coding %: 70. System Design %: 30</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>PhD in Computer Science, Computer Engineering, or relevant technical field with 5+ years of experience</li><li>Understanding of state-of-the-art full body human 3D reconstruction and 3D telepresence</li><li>Led XFN groups across research and product towards meeting experiential and engineering targets</li><li>Track record of delivering research into production, driving algorithmic changes towards on-device optimization</li><li>Experience developing computer vision and machine learning algorithms in C/C++ and/or Python/PyTorch</li></ul>Preferred Qualifications: <ul><li>First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, SIGGRAPH)</li><li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices</li><li>Experience working and communicating cross functionally in a team environment</li><li>Experience in machine learning infra systems</li><li>Experience with CPU/GPU and mobile optimization</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

AI Research Scientist, Computer Vision - XR People Generation

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 Natural Language Processing, 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 Postdoctoral Researcher, FAIR Responsibilities: <ul><li>Perform research to push the scientific and technological frontiers of text-only or multimodal language modeling, with focus on reasoning, world modeling and agentic behavior learning</li><li>Invent or improve novel data-driven paradigms for text-only or mixed-modality generation.</li><li>Enable reasoning with multimodal understanding and generation systems.</li><li>Develop the next generation of platforms for AI & multimodal research.</li></ul>Minimum Qualifications: <ul><li>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.</li><li>Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Machine Learning, Natural Language Processing, Multimodality, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Experience in deep learning frameworks (such as PyTorch, TensorFlow), C, C++, Python.</li><li>Experience in AI frameworks like Hugging Face or other systems.</li><li>Experience in training and use of language models and Transformers.</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences (NeurIPS, ICML, ICLR, CVPR) and NLP (ACL, NAACL, EMNLP).</li><li>Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub).</li><li>Experience in building systems based on machine learning and/or deep learning methods.</li><li>Experience in solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.</li><li>Experience in working and communicating cross functionally in a team environment.</li><li>Research experience in machine learning, representation learning, optimization, statistics, applied mathematics, or data science.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Postdoctoral Researcher, FAIR

Come be a part of a team of designers, engineers and artists passionate about creating compelling products for Facebook's billions of users. As a Conversation Designer for the Horizon Design Team, you will be involved in every aspect of the product development process from brainstorming to tweaking pixels and content right before launch. You will be expected to utilize your full range of conversation design, product design, interaction design, and visual design skills, and you will own the AI Agent experience within Horizon. You will build upon your existing skill-set and passion for conversational problem solving, and help define the next generation of Meta's VR products.We are looking for an experienced and talented Conversation Designer to conceptualize, illustrate, build and deliver innovative conversational and natural language interaction paradigms to power AI Agents deployed across Horizon's various product surfaces. You will be expected to drive these conversational experiences from concepts and storyboards to product launch with attention to detail through elegant probabilistic designs that allow humans to interact more naturally with our devices. A positive and collaborative attitude is required, and we're looking for a self-motivated problem solver with impeccable communication skills. Conversation Designer Responsibilities: <ul><li>Conceptualize and iterate on high-quality end-to-end designs for speech and conversational user interfaces and content</li><li>Create natural dialog flows, wireframes and templates that clearly convey a conversation architecture to our engineering teams</li><li>Work closely with linguists to create scalable ontologies and guidelines that inform our natural language systems</li><li>Contribute to high-level strategic decisions with the rest of the product and executive teams</li><li>Document standards, frameworks, processes and methodology</li><li>Clearly articulate your vision, strategy and design to cross-functional teams and executive stakeholders</li><li>Collaborate with PMs, engineers, art team, researchers and content strategists to oversee the user experience of a product from conception until launch (and then some)</li><li>Create and prototype pre-visualizations to help communicate UI/UX ideas</li><li>Give and solicit feedback from other designers in order to continually raise our bar for quality</li><li>Be an advocate for the conversation design community within AR/VR, and across all of Meta</li></ul>Minimum Qualifications: <ul><li>Shipped at least 1 conversational or AI product</li><li>Portfolio featuring examples of conversational experiences</li><li>Experience crafting demos that showcase the potential of conversational experiences</li><li>Proven experience contributing to design for products in a cross-functional environment</li><li>Knowledge and understanding of how qualitative and quantitative research can improve your designs</li><li>Product thinking and design rigor in conversational and AI design spaces</li></ul>Preferred Qualifications: <ul><li>5+ years experience shipping conversational experiences or AI products</li><li>Knowledge and experience with natural language understanding and generation systems</li><li>Previous experience designing for Assistant, AI, machine learning, or AR/VR products</li><li>Created multiple demos or prototypes showcasing the bleeding edge capabilities of conversational design</li><li>Experience driving and iterating at every phase of design, from paper to pixels</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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