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 .

AIML - Machine Learning Research Engineer, MLRHonolulu,Hawaii,United StatesMachine Learning and AIPlay a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.Key QualificationsExpert in Python programmingExpert in at least one ML framework (PyTorch preferred but tensorflow or jax are ok as well)Experience with CUDA programming, and/or High-Performance Computing and/or distributed computing is a plusExperience with open-source projects and collaborative software developmentExcellent communication skillsExperience and passion to circumvent unexpected roadblocksPast research experience is a plusDescriptionWork with researchers on the team to build high-performance and scalable software addressing novel ML research algorithms. Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques - Is this you? If so wed love to hear from you.Education & ExperienceM.S. or PhD in Computer Science (or related fields) or related fields or equivalent experienceAdditional RequirementsPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $179,800.00 and $270,000.00, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Apple FooterApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race,color,religion,sex,sexual orientation,gender identity,national origin,disability,Veteran status,or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .#J-18808-Ljbffrby Jobble

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> </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: $177,008/year to $251,000/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="eefc92a68d9e4ba9be75b11bce86ee031624"></script>

Research Engineer Jobs in Honolulu, HI

Research Engineer Code Generation Fair
May 1, 2024

Aiml Machine Learning Research Engineer Mlr
April 28, 2024

Aiml Machine Learning Research Engineer Mlr
April 23, 2024

Aiml Machine Learning Research Engineer Mlr
April 19, 2024

Research Engineer Language Generative Ai
April 18, 2024

Research Engineer Code Generation Fair
April 18, 2024

Research Engineer Language Generative Ai
April 17, 2024

Research Engineer Iii Lighting And Building Energy
April 9, 2024

Research Engineer Iii Building Performance Standards
April 9, 2024

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Research Engineer Jobs in Honolulu, HI

Research Engineer Code Generation FairMay 1, 2024

Aiml Machine Learning Research Engineer MlrApril 28, 2024

Aiml Machine Learning Research Engineer MlrApril 23, 2024

Aiml Machine Learning Research Engineer MlrApril 19, 2024

Research Engineer Language Generative AiApril 18, 2024

Research Engineer Code Generation FairApril 18, 2024

Research Engineer Language Generative AiApril 17, 2024

Research Engineer Iii Lighting And Building EnergyApril 9, 2024

Research Engineer Iii Building Performance StandardsApril 9, 2024