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 .

314 Main Street (21020), United States of America, Cambridge, MassachusettsDistinguished Machine Learning EngineerDistinguished Machine Learning Engineer (Director-level) At Capital One, we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital Ones commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Center for Machine Learning is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML. As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Youll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.What youll do in the role:<ul><li>Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.</li><li>Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems.</li><li>Lead large-scale ML initiatives with the customer in mind.</li><li>Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.</li><li>Optimize data pipelines to feed ML models.</li><li>Use programming languages like Python, Scala, C/C++.</li><li>Leverage compute technologies such as Dask and RAPIDS</li><li>Evangelize best practices in all aspects of the engineering and modeling lifecycles.</li><li>Help recruit, nurture, and retain top engineering talent.</li></ul>Basic Qualifications<ul><li>Bachelors degree.</li><li>At least 10 years of experience designing and building data-intensive solutions using distributed computing.</li><li>At least 6 years of experience programming in C, C++, Python, or Scala.</li><li>At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting.</li><li>At least 2 years of experience using Dask, RAPIDS, or in High Performance Computing</li><li>At least 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)</li><li>Preferred Qualifications</li><li>Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.</li><li>3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models.</li><li>8+ years of experience within a large/data-intensive multi-line business environment.</li><li>Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms.</li><li>Ability to communicate complex technical concepts clearly to a variety of audiences.</li><li>ML industry impact through conference presentations, papers, blog posts, or open source contributions.</li><li>Ability to attract and develop high-performing software engineers with an inspiring leadership style.</li></ul> Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the<a href='https://www.capitalonecareers.com/benefits' target='_blank'>Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href='mailto:RecruitingAccommodation@capitalone.com' target='_blank'>RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href='mailto:Careers@capitalone.com' target='_blank'>Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).by Jobble

314 Main Street (21020), United States of America, Cambridge, MassachusettsDistinguished Machine Learning EngineerDistinguished Machine Learning Engineer (Director-level) At Capital One, we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital Ones commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Center for Machine Learning is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML. As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Youll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.What youll do in the role:<ul><li>Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.</li><li>Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems.</li><li>Lead large-scale ML initiatives with the customer in mind.</li><li>Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.</li><li>Optimize data pipelines to feed ML models.</li><li>Use programming languages like Python, Scala, C/C++.</li><li>Leverage compute technologies such as Dask and RAPIDS</li><li>Evangelize best practices in all aspects of the engineering and modeling lifecycles.</li><li>Help recruit, nurture, and retain top engineering talent.</li></ul>Basic Qualifications<ul><li>Bachelors degree.</li><li>At least 10 years of experience designing and building data-intensive solutions using distributed computing.</li><li>At least 6 years of experience programming in C, C++, Python, or Scala.</li><li>At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting.</li><li>At least 2 years of experience using Dask, RAPIDS, or in High Performance Computing</li><li>At least 2 years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)</li><li>Preferred Qualifications</li><li>Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.</li><li>3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models.</li><li>8+ years of experience within a large/data-intensive multi-line business environment.</li><li>Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure/platforms.</li><li>Ability to communicate complex technical concepts clearly to a variety of audiences.</li><li>ML industry impact through conference presentations, papers, blog posts, or open source contributions.</li><li>Ability to attract and develop high-performing software engineers with an inspiring leadership style.</li></ul> Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Machine Learning Engineer Jobs in Providence, RI

Machine Learning EngineerMay 26, 2024

Machine Learning EngineerMay 24, 2024

Distinguished Machine Learning EngineerMay 13, 2024

Distinguished Machine Learning EngineerMay 11, 2024

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