Research Scientist Salary in New York, NY

Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, natural language processing, and computer vision. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. Research Scientist, AI (PhD) Responsibilities: Lead research to advance the science and technology of intelligent machinesLead research that enables learning the semantics of data (images, video, text, audio and other modalities)Work towards long-term ambitious research goals, while identifying intermediate milestonesLead and collaborate on research projects within a globally based teamMentor other team members. Arbitrate in cases of technical disagreement among team members. Play a significant role to have a healthy cross-functional collaboration Minimum Qualifications:Currently has or is in the process of obtaining a PhD in the field of machine learning, AI, computer science, statistics, applied mathematics, data science or a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.Experience in empirical research and for addressing research problems.Experience communicating research for public audiences of peers.Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.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. Preferred Qualifications:Experience in a university, industry, or government lab(s), in a role with primary emphasis on AI researchExperience in developing and debugging in Python.Experience driving original scholarship in collaboration with a team.Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL or similar.Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience working and communicating cross functionally in a team environment. 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 [email protected].

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, optimization, reinforcement learning, representation learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence. Fundamental AI Research Scientist, Core ML - FAIR (PhD) Responsibilities: Perform research to advance the science and technology of intelligent machines.Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).Work towards long-term ambitious research goals, while identifying immediate milestones.Influence progress of relevant research communities by producing publications.Open source high quality code and produce reproducible research. Minimum Qualifications: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.Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.Research publications reflecting experience in theoretical or empirical research.Experience in developing and debugging in Python or similar programming languages.Experience in analyzing and collecting data from various sources.Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications:Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, FacCT, CCS, IEEE S&P, and other similar venuesExperience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience collaborating in a team environment on research projectsExperience communicating research for public audiences of peers. 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 [email protected].

The Demography and Survey Science team's mission is to improve the way we make decisions and measure impact both within and outside of Meta. We collect and analyze rich survey and behavioral datasets to understand new challenges, solve problems, and shape decisions. We are looking for quantitative social scientists with experience answering complex research questions to join us in this effort. Our interdisciplinary team includes those with expertise in statistical inference, survey methodology, causal inference and econometrics, regression modeling, exploratory data analysis, and mathematical demography, among other areas. In this role, you'll own research end-to-end. This means you'll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences in order to drive impactful decisions. Strong candidates may include social scientists, applied statisticians, or other applied researchers with expertise in quantitative research methods, experience working with large datasets and relational databases, and experience with survey methodology (e.g., bias correction, sampling). We are looking for candidates who can demonstrate methodological rigor, strong communication skills, and the ability to make research design choices that balance competing tradeoffs effectively. Research Scientist, Demography and Survey Science, University Grad Responsibilities: Develop a research agenda and drive research projects from end-to-endCollaborate with cross-functional teams across the company to define relevant research questionsDesign and deploy appropriate research methodologies to answer those questionsDevelop innovate new approaches to resolve challenging problemsProvide teams with usable measurement strategies and methodologies to make better decisionsDeliver insights and recommendations clearly to relevant audiences Minimum Qualifications:Currently has, or in the process of, obtaining a(n) Master's in social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questionsSkilled in at least three or more of the following skills: statistical inference, survey methodology, regression modeling, exploratory data analysis, and experimental designKnowledge of statistical analysis and programming languages (such as R/Stata, Python, SQL/Hive)Experience communicating analyses and results to diverse audiencesExperience initiating and driving research projects to completion with minimal guidanceDemonstrated experience in designing original research to address complex questionsMust obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications:Experience with large data sets and distributed computing (Hive/Hadoop)Experience with Bayesian statistical modelsExperience with primary data collectionExperience with survey sampling and weightingExperience with observational causal inference (e.g., regression adjustment, matching, propensity score stratification), or quasi-experimental methods (e.g., instrumental variables, regression discontinuity, interrupted time series)Familiarity with qualitative research (e.g., focus groups, interviews, cognitive walkthroughs) 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 [email protected].

We are a distinguished firm known for our leading-edge research and development in the financial sector. With an emphasis on innovation and a collaborative culture, we strive to attract and nurture top-tier talent. Our workplace is crafted to encourage creativity and peak performance. At the heart of our operations is a commitment to a culture defined by collaboration, meritocracy, ambition, and determination-qualities that foster an ambitious and results-oriented atmosphere. Our investment strategies are systematic, supported by a robust research and development platform, with the goal of consistently delivering industry-leading returns.Vision:We value specialists who can immediately contribute and enhance our dynamic team with diverse skill sets and backgrounds. The computational models we are developing are becoming increasingly complex, and computational power is paramount.The Opportunity:Engage in an evolving environment that champions complexity and growth.Work at the forefront of machine learning, recognizing and harnessing its transformative potential.Thrive in a setting that combines the agility of a start-up with the stability of a well-funded entity-a perfect playground for innovation.Experience mid to long-term growth opportunities, including leading teams and spearheading technology initiatives.We Are Seeking:Talented deep learning scientists who are eager to create and refine proprietary trading models and strategies. Our scientists collaborate closely with engineers, researchers, and senior leaders, with the scope to undertake independent research and develop new research themes over time.Responsibilities Include:Employing financial and other data sources to construct or enhance predictive models.Utilizing state-of-the-art statistical and machine-learning models to bolster our R&D system.Designing algorithms to capitalize on predictive signals.Technical Qualifications:Advanced degree (PhD or Postdoc) in finance, computer science, mathematics, statistics, machine learning, physics, or a related scientific discipline.Strong mathematical, analytical, and problem-solving skills.Experience conducting high-level statistical or applied mathematical research.Prior quantitative trading environment experience is advantageous.Proficiency in programming with C++, Java, or Python.

Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI as well as applying AI to the Meta Platforms products. Individuals in this role are expected to be recognized experts in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning. Fundamental AI Research Scientist, Computer Vision - FAIR Responsibilities: Develop algorithms based on state-of-the-art machine learning and neural network methodologies.Conduct research to advance the science and technology of intelligent machines.Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).Contribute to and apply research that advances Meta Platforms products.Conduct and collaborate on research projects within a globally-based team. Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.PhD in computer vision and/or machine learning or related areas.2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience communicating research for public audiences of peers.Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications:First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).4+ year(s) of work experience in an industry, university, or government lab. 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 [email protected].

We are looking for a Applied Research Scientist to join the Meta AI Speech team. The AI Speech team creates spoken language technology to make it faster and easier for people to build community and connect with others around the world. Our mission is to conduct product-motivated research in ML/AI and design, develop and deploy state of the art models to the rest of Meta. We work in all aspects of AI for speech and audio processing, including speech recognition, speech synthesis, speaker identification, keyword spotting, and acoustic event detection. Our work is largely focused on the areas of voice interfaces, including speech technologies for RayBan Meta, Oculus VR headsets, the Metaverse, Family of Apps (Instagram, Messenger, WhatsApp etc) and video understanding, including transcription, captioning, and content understanding.As a Applied Research Scientist, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. We are looking for a research scientist with a focus on automatic speech recognition. The ideal candidate should have a strong background in automatic speech recognition, end-to-end ASR, acoustic modeling, machine learning, or related areas, and have a passion for speech technology and voice interfaces. Applied Research Scientist, Speech Responsibilities: Independently design and implement algorithms, train state of the art speech recognition models on large data, and evaluate their performance.Develop machine learning models for both server-based and embedded systems.Contribute research that can be applied to Meta product development, especially tackle the issues of edge computing for large speech models (like quantization, compression). Minimum Qualifications:Currently has or is in the process of obtaining a PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Research experience in one or more of these areas: speech recognition, speech processing, machine learning, deep learning, or related fields.Experience with development and implementation of speech recognition algorithm/systems and model training.Experience working with machine learning libraries like Pytorch, Tensorflow, etc.Knowledge of deep learning and neural networks.Familiar with scripting languages such as Python and shell scripts.Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications:Experience with developing scalable machine learning models in at least one of the following areas: automatic speech recognition, end-to-end ASR, unsupervised/semi-supervised training, on-device modeling, acoustic modeling, or relevant areas.Experience with developing machine learning models for both server-based and embedded solutions.Experience with large scale model training, implementing algorithms, and evaluating ASR systems.Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, or similar.Experience taking ideas from research to production.Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience working and communicating cross functionally in a team environment. 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 [email protected].

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems. Research Scientist, Central Applied Science (PhD) Responsibilities: Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.Work towards long-term ambitious research goals, while identifying intermediate milestones.Communicate scientific best practices to partners.Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.Actively identify new opportunities within Meta's long term roadmap for scientific contributions. Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.PhD in the field of Computer Science, Statistics, Economics, Operations Research, or a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.Experience with empirical research and for answering questions with data.Experience developing algorithms in languages like Python, C, C++ or Java.Experience analyzing datasets using languages like Python or R.Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment. Preferred Qualifications:Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience working and communicating cross functionally in a team environment.Experience analyzing large datasets using tools like Presto, Hive or Spark.Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as KDD, EC, ICML, NeurIPS, or similar. 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 [email protected].

Meta is seeking a Research Scientist to join our Multimodal applied research team. We are looking for recognized experts in generative AI, multimodal reasoning, NLP, with experience in areas like multimodal model training; data processing for pretraining and fine-tuning; LLM alignment; reinforcement learning for model tuning; efficient training and inference; image and video generation. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large multimodal models. Applied AI Research Scientist - Generative AI, Multimodal Responsibilities: Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.Work with a large team.Help identify long-term ambitious research goals as well as intermediate milestones.Prioritize research that can be applied to Meta's product development.Mentor other team members. Play a significant role in healthy cross-functional collaboration. Minimum Qualifications: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.A PhD in AI, computer vision, computer science, data science, or related technical fields.Experience holding an industry, faculty, or government researcher position.Publications in machine learningExperience writing software and executing complex experiments involving large AI models and datasets.Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications:Direct experience in generative AI, computer vision and multimodal research.2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).Experience in developing and debugging in Python. 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 [email protected].

Reality Labs at Meta is seeking Research Scientists with experience in prototype machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds. We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. The role is to build, analyze and improve peripheral neural interfaces based on surface EMG technology. Research Scientist, CTRL Labs Responsibilities: Build, analyze and improve peripheral neural interfaces based on surface EMG.Analyze and develop metrics for deep learning models and experimental datasetsDesign methods, tools and infrastructure to analyze and leverage rich multimodal data sets.Design experiments, involving human participants, to assess model performance. Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Programming experience in Python and hands-on experience with frameworks such as PyTorch.Exposure to architectural patterns of large scale software applications. Preferred Qualifications:Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP).Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).Experience bringing machine learning-based products from research to production. 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 [email protected].

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as computer vision, speech, multimodality, artificial intelligence and machine learning. The ideal candidate should have a keen interest in producing new, open science to further advance multimodal language modeling research. Research Scientist - FAIR Responsibilities: Perform research to push the scientific and technological frontiers of multimodal language modeling.Invent/improve novel data-driven paradigms for multimodal generation.Enable reasoning with multimodal understanding and generation systems.Develop the next generation of platforms for AI & multimodal research. Minimum Qualifications:Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Computer Vision, Speech, Multimodality, Natural Language Processing, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.Experience in deep learning frameworks (such as PyTorch, TensorFlow), C, C++, Python.Experience in AI frameworks like Hugging Face or other systems.Experience in training and use of language models and Transformers.Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences (NeurIPS, ICML, ICLR), Computer Vision (CVPR, ICCV), Speech (Interspeech, ICASSP) and NLP (ACL, NAACL, EMNLP).Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.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. Preferred Qualifications:Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).Experience building systems based on machine learning and/or deep learning methods.Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience working and communicating cross functionally in a team environment.Research experience in machine learning, representation learning, optimization, statistics, applied mathematics, or data science. 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 [email protected].