Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click "Apply to Job" online on this web page. Research Engineer, Capacity Engineering and Analysis Responsibilities <ul><li>Work cross-functionally with a number of teams to ensure efficient operation and growth of our computing resources from both a cost and technology perspective.</li><li>Explore and develop novel solutions to scale the largest web capacity in the world.</li><li>Work with Services, Product, Data, and Infrastructure teams to scale the data center infrastructure, including tens of billions of user requests, hundreds of petabytes of data, and thousands of giga bps of network flow.</li><li>Perform research and make recommendations aimed at tackling state-of-the-art hardware and software performance issues (e.g., optimize product/service performance, reduce resource consumption and shorten request latency, etc.).</li><li>Provide deep visibility into Meta products and services.</li></ul> Minimum Qualifications <ul><li>Requires a PhD degree (or foreign equivalent) in Computer Science, Computer Engineering, Systems Engineering, or a related field and completion of a graduate-level course, one research project, or one internship involving the following skills:</li><li>1. Leveraging theoretical and empirical research to solve problems</li><li>2. Communicating complex research in a clear, precise, and actionable manner</li><li>3. Coding and scripting</li><li>4. Artificial intelligence, machine learning, computer architecture, operating systems, data center technologies, performance analysis, or workload characterization.</li></ul> Start preparing Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences. Visit interview prep

We are looking for an experienced Research Engineer to join our computer vision/multimodal team in GenAI. We are a passionate team building really large scale Llama models on some of the largest training clusters with extremely large volumes of data leading to unforeseen multimodal capabilities. This requires solving many challenging research problems at scale spanning data, model design and scaling, pre-training, post-training, evaluations and exploring new multimodal capabilities. We partner closely with text teams to enable this. Projects in the team include but not limited to: a. Designing multimodal models and media encoders at scale b. Data exploration to cover a variety of multimodal capabilities and c. post-training exploration to add novel capabilities. We are looking for engineers who are enthusiastic about building large scale models, generative AI and software engineering. If you are interested in joining us, let's chat!Research Engineer, Computer Vision and Multimodal - GenAI ResponsibilitiesLeading, collaborating, and executing on research that pushes forward the state of the artContributing to experimental design, implementation, evaluation, and reporting resultsWorking with and creating large datasets and benchmarksMinimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Masters in computer science, computer engineering, or relevant technical field3+ years of industry experience in computer vision and/or machine learningResearch experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perceptionExperience writing software and executing complex experimentsMust obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred QualificationsPhD in computer vision and/or machine learning or related areas2+ years of industry, academic, or government lab experience in computer vision and/or machine learningPublication record at AI conferences (ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, CHI, ISMAR, UIST, VR, etc.)Hands on experience working with really large scale models, preferably transformer models.Background in LLM, multimodal training or computer visionStart preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prep#J-18808-Ljbffrby Jobble

We are looking for an experienced Research Engineer to join our computer vision/multimodal team in GenAI. We are a passionate team building really large scale Llama models on some of the largest training clusters with extremely large volumes of data leading to unforeseen multimodal capabilities. This requires solving many challenging research problems at scale spanning data, model design and scaling, pre-training, post-training, evaluations and exploring new multimodal capabilities. We partner closely with text teams to enable this. Projects in the team include but not limited to: a. Designing multimodal models and media encoders at scale b. Data exploration to cover a variety of multimodal capabilities and c. post-training exploration to add novel capabilities. We are looking for engineers who are enthusiastic about building large scale models, generative AI and software engineering. If you are interested in joining us, let's chat! Research Engineer, Computer Vision and Multimodal - GenAI Responsibilities <ul><li>Leading, collaborating, and executing on research that pushes forward the state of the art</li><li>Contributing to experimental design, implementation, evaluation, and reporting results</li><li>Working with and creating large datasets and benchmarks</li></ul> Minimum Qualifications <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Masters in computer science, computer engineering, or relevant technical field</li><li>3+ years of industry experience in computer vision and/or machine learning</li><li>Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception</li><li>Experience writing software and executing complex experiments</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>PhD in computer vision and/or machine learning or related areas</li><li>2+ years of industry, academic, or government lab experience in computer vision and/or machine learning</li><li>Publication record at AI conferences (ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, CHI, ISMAR, UIST, VR, etc.)</li><li>Hands on experience working with really large scale models, preferably transformer models.</li><li>Background in LLM, multimodal training or computer vision</li></ul> Start preparing Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences. Visit interview prep

Summary: 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. Required Skills: Research Engineer, Language - Generative AI Responsibilities: <ol> <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> </ol> Minimum Qualifications: <h3>Minimum Qualifications</h3> <ol> <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> </ol> Preferred Qualifications: <h3>Preferred Qualifications</h3> <ol> <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> </ol> Public Compensation: $146,994/year to $208,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: 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. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="18aae5b29242486bbb085f5bea0050661624"></script>

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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 .

Research Engineer Jobs in Bellevue, WA

Research Engineer Capacity Engineering And Analysis
May 1, 2024

Research Engineer Computer Vision And Multimodal Genai
April 30, 2024

Research Engineer Computer Vision And Multimodal Genai
April 28, 2024

Research Engineer Computer Vision And Multimodal Genai
April 23, 2024

Research Engineer Language Generative Ai
April 18, 2024

Research Engineer Fair Core Learning
April 17, 2024

Research Engineer Language Generative Ai
April 17, 2024

Research Engineer Computer Vision And Multimodal Genai
April 17, 2024

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Research Engineer Jobs in Bellevue, WA

Research Engineer Capacity Engineering And AnalysisMay 1, 2024

Research Engineer Computer Vision And Multimodal GenaiApril 30, 2024

Research Engineer Computer Vision And Multimodal GenaiApril 28, 2024

Research Engineer Computer Vision And Multimodal GenaiApril 23, 2024

Research Engineer Language Generative AiApril 18, 2024

Research Engineer Fair Core LearningApril 17, 2024

Research Engineer Language Generative AiApril 17, 2024

Research Engineer Computer Vision And Multimodal GenaiApril 17, 2024