<p>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 .</p>

Summary: Reality Labs at Meta is seeking a Research Engineer with experience in language modeling research and production for embedded devices to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical neural interface for text entry drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.We are a multi-disciplinary team of researchers building text input methods using human neuromotor signals (i.e., electromyography or EMG). EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We’re looking for people who want to shape the future of this technology and explore this exciting new territory with us. Required Skills: Research Engineer, Language Modeling - Neuromotor Interfaces Responsibilities: Design methods, tools, and infrastructure to push forward the state of the art in language models suitable for deployment to edge devices. Develop applications of language models for autocorrect, autocomplete, auto-capitalization, and other predictive-text tasks. Integrate language modeling with other models and decoders, e.g., using beam search within a finite-state transducer framework. Collaborate with research and Human-Computer Interactions (HCI) teams to deploy language models that leverage fundamental knowledge into new technology and user experiences. Develop production-grade code for deployment in research prototypes and pre-production devices. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Autonomously set technical direction. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Preferred Qualifications: Preferred Qualifications: 3 years of experience in industry working autonomously to design and build software systems and conduct research. Master’s degree in one of the following fields: machine learning, computer science, natural language processing, computational linguistics, or related fields. Experience with predictive text input algorithms and system design on edge devices. Experience bringing machine learning-based products from research to production. Experience with interdisciplinary and/or cross-cultural collaboration. Experience with real-time signal processing and/or human-computer interaction. Experience with large scale cluster computing for machine learning modeling, architectural patterns of large scale software applications. First author publications experience at peer-reviewed AI conferences (NeurIPS, ICLR, ACL, EMNLP, Interspeech, ICASSP, etc.). Public Compensation: $70.67/hour 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-extfb.com.

Summary:

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, motor learning, AR/VR 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.

Required Skills:

Research Engineer - Reality Labs Responsibilities:

Research and develop Deep Learning or other computational models with at least one of Computer Vision, Natural Language Processing, and EMG signal processing.

Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.

Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.

Define short-term research goals, informed by practical engineering concerns.

Help transition and deliver our work from research into product.

Adapt standard machine learning and signal processing methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Masters degree in Computer Science, Computer Engineering, or relevant technical field.

Experience with developing machine learning models at scale from inception to business impact.

Research experience in machine learning, deep learning, computer vision and/or natural language processing.

Programming experience in Python and hands-on experience with frameworks such as PyTorch.

Exposure to architectural patterns of large scale software applications.

Preferred Qualifications:

Preferred Qualifications:

Ph.D. degree and publications in machine learning, speech and language technologies, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.

First-author publications at peer-reviewed AI or signal processing conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP).

Comfort with rapid prototyping and disciplined software development processes.

Experience with productizing new research results.

Public Compensation:

$70.67/hour 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.

Summary: Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research 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. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results. Required Skills: Research Engineer - Conversational AI - Reality Labs Responsibilities: Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Work with a large and globally distributed team. Contribute to publications and open-sourcing efforts. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research experience in machine learning, deep learning, and/or natural language processing. Experience with developing machine learning models at scale from inception to business impact. Programming experience in Python and hands-on experience with frameworks such as PyTorch. Exposure to architectural patterns of large scale software applications. Preferred Qualifications: Preferred Qualifications: Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. A PhD in AI, computer science, data science, or related technical fields. Direct experience in generative AI and LLM research. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Public Compensation: $70.67/hour 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-extfb.com.

Research Engineer Jobs in Burlingame, CA

Research Engineer Reality Labs
December 19, 2024

Research Engineer Language Modeling Neuromotor Interfaces
December 9, 2024

Research Engineer Reality Labs
December 9, 2024

Research Engineer Reality Labs
December 8, 2024

Research Engineer Language Modeling Neuromotor Interfaces
December 7, 2024

Research Engineer Conversational Ai Reality Labs
December 4, 2024

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Research Engineer Jobs in Burlingame, CA

Research Engineer Reality LabsDecember 19, 2024

Research Engineer Language Modeling Neuromotor InterfacesDecember 9, 2024

Research Engineer Reality LabsDecember 9, 2024

Research Engineer Reality LabsDecember 8, 2024

Research Engineer Language Modeling Neuromotor InterfacesDecember 7, 2024

Research Engineer Conversational Ai Reality LabsDecember 4, 2024