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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;

Waste Connections is currently seeking dedicated individuals to join our team as a CDL Driver in Training in Knoxville, TN. Waste Connections will pay for all costs associated with obtaining your CDL and pay you while you learn! In this role, you will work alongside experienced CDL drivers, Driver Trainers, and Operations Supervisors to learn the proper operation of commercial vehicles and obtain your Commercial Driving License (CDL). This is an excellent opportunity for individuals looking to start a career in an industry that offers growth opportunities and steady employment. What To Expect:<ul><li>First two weeks - training at your local Waste Connections district.</li><li>Within first 30 days - must obtain your CDL permit.</li><li>Within first 60 days - attend Waste Connections partnered Driving School in Gastonia, NC.<ul><li>As school availability permits.</li><li>Paid training! Hotel, travel, and food costs will be covered.</li></ul></li></ul>Essential Duties and Responsibilities:<ul><li>Collaborate with experienced CDL drivers to learn safe and efficient operation of commercial vehicles.</li><li>Attend and actively participate in training programs, classes, and on-the-job training sessions to develop driving skills and knowledge.</li><li>Perform pre-trip and post-trip inspections of assigned vehicles, documenting checks as required.</li><li>Follow all safety protocols, traffic laws, and company policies while operating vehicles.</li><li>Communicate effectively with dispatchers, supervisors, and team members to coordinate routes and deliveries.</li></ul>Qualifications:<ul><li>Clean driving record.</li><li>Ability to obtain CDL permit and CDL within specified timeframes.</li><li>Ability to lift at least 50lbs repeatedly.</li><li>Ability to work outside in all weather conditions.</li></ul>We offer excellent benefits including medical, dental, vision, flexible spending account, short term and long term disability, life insurance, 401(k) retirement and unlimited opportunities to 'Connect with Your Future'. 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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Driver in Training

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)

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that's working to help people connect with each other around the globe. Join us! Software Engineer, Product Responsibilities: <ul><li>Full stack web/mobile application development with a variety of coding languages</li><li>Create consumer products and features using internal programming language Hack</li><li>Implement web or mobile interfaces using XHTML, CSS, and JavaScript</li><li>Work closely with our PM and design teams to define feature specifications and build products leveraging frameworks such as React & React Native</li><li>Work closely with operations and infrastructure to build and scale back-end services</li><li>Build report interfaces and data feeds</li><li>Sets direction and goals for the team regarding project impact, product quality and engineering efficiency</li><li>Leads major initiatives, projects, teams, rollouts and phased-releases</li><li>Helps to onboard new team members, provides mentorship and enables successful ramp up on your team's code bases</li></ul>Minimum Qualifications: <ul><li>7+ years of programming experience</li><li>7+ years relevant experience building large-scale applications or similar experience</li><li>Experience leading major initiatives successfully. Experience leading projects and teams accordingly</li><li>Experience building and shipping high quality work and achieving high reliability</li><li>Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes</li><li>Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions</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, Product

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 who value moving quickly. Product Manager Responsibilities: <ul><li>Plan, initiate, and manage information technology projects for web-based products and platforms.</li><li>Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.</li><li>Drive product development with teams of world-class engineers and designers, while maintaining team health.</li><li>Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.</li><li>Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.</li><li>Define and analyze metrics that inform the success of products. Identify and track key performance metrics.</li><li>Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.</li><li>Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.</li></ul>Minimum Qualifications: <ul><li>5+ years product management or related industry experience</li><li>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:</li><li>Experience product management or product design</li><li>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</li><li>Experience delivering technical presentations</li><li>Experience analyzing complex, large-scale data sets and making decisions based on data</li><li>Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution</li><li>Technical experience with analytical tools, methodologies, and design</li><li>Displaying leadership, organizational and execution skills</li><li>Proven communication skills</li></ul>Preferred Qualifications: <ul><li>Experience identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.</li><li>Experience going through a full product life-cycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.</li><li>Proven to be enthusiastic and resilient in a constantly evolving environment in which the process is fluid and creative solutions are the norm</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 Manager

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your 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. 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.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 to test them.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 Responsibilities: <ul><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>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li><li>A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.)</li><li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</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

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. Software Engineering Manager, Infrastructure Responsibilities: <ul><li>Be both highly technical, hands-on coder and an effective people manager</li><li>Communicate across functions and drive engineering initiatives</li><li>Participate in technical design</li><li>Be a subject matter expert in the infrastructure domain</li><li>Define and influence product strategy</li></ul>Minimum Qualifications: <ul><li>5+ years of software engineering work experience, including hands-on technical management</li><li>5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP</li><li>Demonstrated experience recruiting and managing technical teams, including performance management</li><li>BA/BS in Computer Science (In lieu of degree, 4+ years work 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 Engineering Manager, Infrastructure

At Reality Labs, we bring together the brightest cross-disciplinary minds in one place to deliver our mission: build tools that help people feel connected, anytime, anywhere. Developers, researchers, engineers and designers all working together to help build a more expansive - and more inclusive - future for all of us.As a Product Designer, you'll be responsible for defining, designing, researching, prototyping, and implementing new features as well as future iterations. We're looking for a designer who isn't afraid to jump in and explore new challenges. You have a balance of interaction design, visual design, and product thinking skills. You are customer obsessed and research driven. You're a natural collaborator and can work independently and in a team environment. Product Designer - Reality Labs Responsibilities: <ul><li>Take broad, conceptual ideas and turn them into something useful and valuable for people using our products</li><li>Work collaboratively with Product, Research, Engineering and other partners from concept to completion</li><li>Drive planning, strategy and vision on key priorities across cross-functional teams</li><li>Own the end-to-end design (user flows, interaction, visual, etc.) across multiple products and projects</li><li>Present designs, prototypes and concepts to cross functional partners and stakeholders</li><li>Provide implementation guidance to engineers and ensure features launch at the highest quality</li><li>Clearly articulate design decisions to a vast set of internal stakeholders across Reality Labs and Meta</li></ul>Minimum Qualifications: <ul><li>8+ years of industry experience designing software products</li><li>Experience working in a technical environment</li><li>Experience utilizing research and data to drive product strategy and decision making</li><li>A portfolio of work that demonstrates a breadth of user experience, interaction and visual design skills</li></ul>Preferred Qualifications: <ul><li>Experience designing products for virtual, augmented, mixed reality and/or other emerging technologies</li><li>Experience working with cross-functional stakeholders such as User Research, Engineering, and Product Management</li><li>Experience prototyping 3D interactions or interfaces using Unity</li><li>Experience with novel user inputs such as hand or eye tracking</li><li>Experience designing products for developers and/or creators</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 - Reality Labs

Production Engineers (PEs) at Meta are a hybrid between software and systems engineers and are core to every significant engineering effort that keeps Facebook running smoothly and scaling efficiently. PEs work within Meta's product and infrastructure teams to make sure our products and services are reliable and scalable. This means writing code and debugging hard problems in live production that impacts over 2 billion people around the world. Our PEs are embedded in teams that work on products like Instagram, WhatsApp, Oculus and Videos to backend services like Storage, Cache and Network. Our team is comprised of varying levels of experience and backgrounds. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. Partnered alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by millions of users all around the world. We sail into uncharted waters every day at Meta in Production Engineering. Production Engineer (University Grad) Responsibilities: <ul><li>Develop a strong understanding of relevant product area, codebase, and/or systems</li><li>Demonstrate proficiency in data analysis, programming and software engineering</li><li>Produce high quality code with good test coverage, using modern abstractions and frameworks</li><li>Work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills</li><li>Master Meta's development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity</li><li>Actively seek and give feedback in alignment with Meta's Performance Philosophy</li></ul>Minimum Qualifications: <ul><li>Experience in *nix (Linux, BSDs, or another UNIX-like OS)</li><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>Experience coding in an industry-standard language (e.g. Java, Python, C++, PHP)</li><li>Experience picking up software, frameworks and APIs</li><li>Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment</li></ul>Preferred Qualifications: <ul><li>Understanding of TCP/IP networking fundamentals</li><li>Experience with an RDBMS like MySQL or Postgres</li><li>Knowledge of internet service architectures (such as load balancing, LAMP, CDN's)</li><li>Experience performing 'guerrilla capacity planning' for internet service architectures</li><li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward</li><li>Experience working and communicating cross functionally in a team 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.

Production Engineer (University Grad)

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, Systems ML - SW/HW Co-design Responsibilities: <ul><li>Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta's products and experiences</li><li>Goal setting related to project impact, AI system design, and infrastructure/developer efficiency</li><li>Directly or influencing partners to deliver impact through deep, thorough data-driven analysis</li><li>Drive large efforts across multiple teams</li><li>Define use cases, and develop methodology & benchmarks to evaluate different approaches</li><li>Apply in depth knowledge of how the ML infra interacts with the other systems around it</li><li>Mentor other engineers / research scientists & improve the quality of engineering work in the broader team</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design</li><li>Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python</li></ul>Preferred Qualifications: <ul><li>A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.</li><li>Experience with distributed systems or on-device algorithm development</li><li>Experience with recommendation and ranking models</li><li>Technical leadership 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, Systems ML - SW/HW Co-design

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your 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. 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.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 to test them.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 Responsibilities: <ul><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.)</li><li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li><li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</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.

Meta is seeking a data center Electrical Subject Matter Expert (SME) to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our systems operate to meet the demands of our customers. The Electrical SME will be a part of the facility operations team and will be responsible for being the electrical system technical operations expert. The Electrical Subject Matter Expert will need to have a broad understanding of electrical system and equipment function and will be responsible for procedure-based electrical maintenance, troubleshooting, repair, training, and project oversight. The candidate will need to be experienced in Low Voltage & Medium Voltage power distribution, electrical protection & controls systems, UPS and battery systems, electrical testing, applicable electrical codes and standards, and have a basic understanding of mechanical systems. Electrical Subject Matter Expert Responsibilities: <ul><li>Serve as an onsite technical resource of electrical infrastructure systems and equipment, with an emphasis on practical field operation</li><li>Ensure appropriate cross-functional collaboration between local electrical team and applicable local and global teams</li><li>Contribute to electrical safety program for site</li><li>Plan resource, author or approve work procedures to cover electrical troubleshooting, repair, retrofit, and maintenance activities, with an emphasis on assessing & mitigating personnel and critical systems and operational risk</li><li>Conduct or oversee hands-on troubleshooting, repair, retrofit, and maintenance of electrical equipment</li><li>Oversee electrical system configurations and component upgrades to ensure system integrity is maintained and that all modifications to existing systems are in compliance with best practices, including change control processes</li><li>Provide Quality Assurance/Quality Control (QAQC) oversight of construction projects & maintenance activity</li><li>Lead and/or participate in root-cause analysis activities in area of expertise</li><li>Provide training to Critical Facility Engineers and other cross functional teams on electrical equipment, systems, procedures, and changes</li><li>Manage vendor relationships for electrical maintenance and retrofit work</li><li>Provide feedback on global electrical maintenance strategies and global electrical system design improvements</li><li>Travel expectations can be significant during the first 1-3 months for initial training and onboarding. After initial onboarding, travel expectations are 10-15%. and then ongoing occasional travel for factory witness tests, collaboration, training, etc.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree or trade certification in related field plus 3+ years relevant electrical industry experience will be considered in lieu of 7+ years relevant electrical industry experience</li><li>7+ years relevant electrical industry experience or electrical trade level experience</li><li>Experience in critical environments</li><li>Theoretical and practical understanding of power equipment & systems, with expertise in electrical equipment design, maintenance, troubleshooting, testing, and/or construction</li><li>Experience working in a highly collaborative, cross-functional environment</li><li>Working knowledge of critical facility operations with experience or understanding of procedure-based work</li><li>Working knowledge of mechanical, controls, and fire and life safety systems</li><li>Experience interpreting blueprints/CAD drawings</li><li>Experience in comprehending electrical plans, specifications, and equipment shop drawings</li></ul>Preferred Qualifications: <ul><li>Experience in a data center industry</li><li>Instrumentation & control, power system protection, power automation, etc. experience</li><li>Experience in high voltage (up to 345kV) equipment construction, operation, and maintenance</li><li>NETA or NICET electrical testing experience/certifications</li><li>Trade Certification or state license as an electrician</li><li>Equipment field service engineering or representative 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.

Electrical Subject Matter Expert

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Research Engineer, Language - Generative AI Responsibilities: <ul><li>Design methods, tools, and infrastructure to push forward the state of the art in large language models.</li><li>Define research goals informed by practical engineering concerns.</li><li>Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li><li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li><li>Work with a large and globally distributed team.</li><li>Contribute to publications and open-sourcing efforts.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Research experience in machine learning, deep learning, and/or natural language processing.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</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>Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>A PhD in AI, computer science, data science, or related technical fields.</li><li>Direct experience in generative AI and LLM research.</li><li>First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</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 Engineer, Language - Generative AI

Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda. Research Engineer - Reality Labs Responsibilities: <ul><li>Research and develop Deep Learning or other computational models with at least one of Computer Vision, and EMG signal processing.</li><li>Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.</li><li>Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.</li><li>Define short-term research goals, informed by practical engineering concerns.</li><li>Help transition and deliver our work from research into product.</li><li>Adapt standard machine learning methods to best utilize modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Masters degree in Computer Science, Computer Engineering, or relevant technical field.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Research experience in machine learning and deep learning.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</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>Ph.D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields.</li><li>First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).</li><li>Comfort with rapid prototyping and disciplined software development processes.</li><li>Experience with productizing new research results.</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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