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Waste Connections is looking add a Frontload Driverto our teamin Rayne, LA. In this position you will be operating a Garbage Truck servicing our commercial customers. This position is very physical and requires you to work outside in all weather conditions. <ul><li> Early morning start time working 10-12 hours a day, 50-55 hours a week. A typical schedule for this position is Monday - Friday, occasional Saturday's. </li><li>The pay range is 19-21/hr. depending on experience.</li></ul>Requirements:<ul><li>Class A or B Commercial Drivers License.</li><li>1+ years of front load experience.</li><li>Excellent customer service skills.</li></ul> Why work for Waste Connections? <ul><li>Competitive Compensation</li><li>Yearly Boot Stipend</li><li>Medical, Dental and Vision Benefits</li><li>Matching 401(K)</li><li>Stable year-round work!</li></ul>Click this video learn more about us! Why Waste Connections? - YouTube 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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Front Load Driver

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations. Software Engineer - ML Systems (Technical Leadership) Responsibilities: <ul><li>Drive the organization's goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta's products and experiences</li><li>Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency</li><li>Assist in goal setting related to project impact, AI system design, and ML excellence</li><li>Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches</li><li>Apply in depth knowledge of how the machine learning system interacts with the other systems around it</li><li>Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap</li><li>Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient</li><li>Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization</li></ul>Minimum Qualifications: <ul><li>Vast experience communicating and working across functions to drive solutions</li><li>Experience in driving large cross-functional/industry-wide engineering efforts</li><li>Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision</li><li>Experience leading projects with industry-wide impact</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Significant experience in mentoring/influencing senior engineers across organizations</li><li>Specialized experience in one or more of the following machine learning/deep learning domains: ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization</li><li>Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python</li></ul>Preferred Qualifications: <ul><li>Experience with distributed systems or on-device algorithm 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.

Software Engineer - ML Systems (Technical Leadership)

At Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing Systems for VR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than mechanical engineering. Our ideal candidate has strong mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics. Product Design Engineer, Reality Labs Responsibilities: <ul><li>Lead complex mechanical solutions as a member of a multi disciplinary team</li><li>Model, build, test, and refine prototypes and characterization test systems</li><li>Work across the full product development cycle, from concept inception to shipping product</li><li>Leverage external teams (CM/JDM/Vendors) to maximize the focus of our internal resources on adding value and differentiation to our products</li><li>Push state-of-the-art technologies and approaches to solving complex mechanical problems</li><li>Ability to travel to external vendors up to 20%</li></ul>Minimum Qualifications: <ul><li>BS in Mechanical Engineering</li><li>5+ years of industry experience in mechanical design</li><li>Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, geometric tolerancing, and 3D/2D CAD</li><li>Working knowledge in material properties, such as plastics, metal, adhesive, glass, etc.</li><li>Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.)</li><li>Knowledge of high-volume manufacturing techniques (stamping, machining, injection molding, etc.)</li></ul>Preferred Qualifications: <ul><li>7+ years of product design and development experience of handheld and/or wearable electronics for high volume manufacturing, including full systems ownership</li><li>MS or PhD in Mechanical Engineering</li><li>Experience designing handheld and wearable electronics for high volume manufacturing</li><li>Experience with NX</li><li>Experience with products cosmetic surface treatments and interfacing with industrial design teams</li><li>Mandarin and/or Cantonese language skills</li><li>Experience designing for human factors</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 Engineer, Reality Labs

Meta is seeking exceptional AI Research Scientists to join our AI organization. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have an interest in producing new science to understand intelligence and technology to make computers more intelligent, and an equal interest in taking new research findings in this area and implementing it towards production ready problems. AI Research Scientist - Computer Vision (Technical Leadership) Responsibilities: <ul><li>Help Advance the science and technology of intelligent machines</li><li>Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities)</li><li>Work on projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives</li><li>Design policies, processes, procedures, methods, tests, and/or components, from the ground up and with the understanding of how to put together end-to-end systems</li><li>Independently lead projects and work cross-functionally to bring research advancements to production teams and Meta Products</li><li>Influence progress of relevant research communities by producing publications</li><li>Devise better data-driven models of human behavior</li><li>Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/wireless sensing systems</li><li>Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems</li><li>Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale long-duration sensing and machine reasoning</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 the following fields: Computer Vision, Robotics, State Estimation, 3D Reconstruction, Object Tracking, Physics based models, or a related field</li><li>Experience in applying research to production problems</li><li>Experience leading a team in solving modeling problems using AI/ML approaches</li><li>Experience communicating research for public audiences of peers</li><li>Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields</li><li>Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python)</li><li>Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing</li></ul>Preferred Qualifications: <ul><li>Experience holding a faculty, industry, or government researcher position in a role with primary emphasis on AI research</li><li>Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)</li><li>Experience in developing and debugging in C/C++, Python, or C#</li><li>Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL)</li><li>Experience with designing (products or open-source) software for inertial/optical/wireless sensing devices</li><li>Experience working in a Unix environment</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 (Technical Leadership)

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, Mixed Methods 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 10+ years' of relevant experience in user experience, applied research and/or product research and development or a Master's degree and 8+ years' relevant experience, or PhD and 5+ year relevant experience</li><li>Relevant experience within user experience, applied research setting and/or product research and development</li><li>Experience conducting In-Depth Interviews or Focus Groups and Concept Testing or Usability Testing</li><li>Experience coding with R, SQL, STATA, SPSS or equivalent</li><li>Experience applying statistical analysis methods such as Regressions, ANOVA, and T-Tests</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></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, Mixed Methods

Every month, billions of people access Facebook products using mobile devices from across the world. Our mobile teams constantly push the boundaries of the user experience across all our apps, including Facebook, Instagram, WhatsApp, Messenger, and more, as a leader in an exciting and fast-paced industry that is evolving daily. We are seeking full-time iOS Engineers to join our mobile teams. As a Mobile Software Engineer, you will specialize in building elegant products on world-class technologies that bring our social experiences to hundreds of millions of people, anytime and anywhere. We are looking for developers with experience in user interfaces, infrastructure, and/or tools supporting applications on the iPhone or iPad using the iOS SDK. If you are interested in joining a world-class team of passionate people and industry veterans who like to work hard and play hard, we look forward to hearing from you soon! Software Engineer, iOS Responsibilities: <ul><li>Work closely with our product and design teams to build new and innovative application experiences for the iOS platform</li><li>Implement custom native user interfaces using the latest iOS programming techniques</li><li>Build reusable iOS software components for interfacing with our back-end platforms</li><li>Analyze and optimize UI and infrastructure application code for quality, efficiency, and performance</li></ul>Minimum Qualifications: <ul><li>4+ years of object-oriented software development experience</li><li>2+ years experience building complex applications for the iPhone or iPad using Objective-C/C++/Swift with the iOS SDK and other frameworks</li><li>Experience building maintainable and testable code bases, including API design and unit testing techniques</li><li>Experience with multithreading programming and mobile memory management</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</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.

Software Engineer, iOS

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web. Software Engineer, Machine Learning Responsibilities: <ul><li>Leading projects or small teams of people to help them unblock, advocating for ML excellence</li><li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)</li><li>Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models</li><li>Suggest, collect and synthesize requirements and create effective feature roadmaps</li><li>Code deliverables in tandem with the engineering team</li></ul>Minimum Qualifications: <ul><li>5+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD</li><li>1+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field</li><li>Experience with developing machine learning models at scale from inception to business impact</li><li>Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts</li><li>Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Masters degree or PhD in Computer Science or a related technical field</li><li>Exposure to architectural patterns of large scale software applications</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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