AI for Monetization is a top priority for the company because of its potential to drive significant revenue growth by improving advertiser performance. Our team is taking the lead in this space with a mission to enable fully automated and data-driven creative/ad format optimization through GenAI. With both near and long-term strategic investments, the team has successfully launched many GenAI driven Ad creative products and a pipeline of tech innovations to unlock significant future revenue. The team’s scope encompasses various aspects of the End-to-End Ad creative generation process. We build and leverage state-of-the-art GenAI technology to help advertisers diversify and optimize creatives, reducing creative fatigue, increasing ads asset liquidity, and enhancing appeal and personalization. The brand new experience empowered by GenAI will make it easy for advertisers to create ads with basic input or instructions such as prompts and reference images, fundamentally transforming the landscape of ads business.
Research Engineer, Computer Vision (PhD) Responsibilities:   Work with researchers and engineers to develop input architectures that combine computer vision and language.
Design and prototype interactive experiences and evaluate them through user research.
Design and prototype data collection systems to accelerate machine learning.
Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).
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 Computer Science, Artificial Intelligence, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
Experience working with PyTorch or TensorFlow.
Experience with sequence modeling, domain adaptation or representation disentanglement.
Experience designing data collection protocols and quality control.
Experience with C++, Python, or other scripting languages.
Technical knowledge across topics including machine learning, optimization, Bayesian statistics and state estimation.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:   Research experience in end-to-end image generative modeling.
Experience transferring technology from research in computer vision, machine perception, or machine learning into a shipping product.
Experience with joint hardware-software development and associated rapid prototyping.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar.
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 accommodations-ext@fb.com.
$117,000/year to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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AI Research Engineer, Computer Vision - FAIR
Meta FAIR is one of the top industrial research organizations in the world. In the FAIR Perception team, we publish groundbreaking papers (e.g., SAM, SAM 2, Masked Autoencoders, Hiera) and collaborate closely with Applied Research and Meta production teams to bring the latest research findings to Meta's products for connecting billions of users. We are driving an ambitious agenda building on the success of SAM, SAM 2 and other related works to create foundation models for computer vision and language. We drive impact by developing state-of-the-art models, massive scale datasets, and compelling interactive demos. We are looking for engineers who share an interest in software engineering and computer vision research.
Responsibilities   Leading, collaborating, and executing on research that pushes forward the state of the art in computer vision
Contributing to experimental design, implementation, evaluation, and reporting results
Working with and creating large datasets and evaluation benchmarks
Collaborating with scientists and engineers in a large cross-functional team
Building optimized software tooling and infrastructure to accelerate research outcomes
Minimum Qualifications   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Masters degree in Computer Science or related technical field, or equivalent practical experience.
3+ years of experience in one or more of the following areas: Deep Learning, Computer Vision, Computer Graphics, Robotics, or AI-Infrastructure
Experience coding software and executing complex experiments
Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception
Experience with Python and PyTorch
Preferred Qualifications   PhD in computer vision and/or machine learning or related areas
Experience with C++, CUDA and model optimization
Compensation:  $70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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Head of HPC @ Acceler8 Talent | Embedded Partner @ Inflection Ai & Voltai  Are you an experienced professional in high-performance computing? If so, we have an exciting opportunity for you! Our team is seeking individuals who are passionate about advancing technology to join us in developing cutting-edge algorithms and GPU kernels. If you thrive on challenges and excel in optimizing performance, this role might be the perfect fit for you.
About the Company
We're a leading player in the tech industry, committed to innovation and pushing the boundaries of what's possible. While we may not be the biggest name out there, our dedication to excellence sets us apart. Our team comprises driven individuals who are determined to shape the future of computing technology.
About the Role
As a High-Performance Computing Engineer, you'll play a crucial role in designing and developing algorithms and GPU kernels for inference and training. You'll have the opportunity to explore new applications for LLMs, contributing to groundbreaking advancements in the field. If you have a passion for fine-tuning performance and thrive in a fast-paced environment, we want to hear from you.
What We Can Offer You
We understand the importance of a competitive compensation package. That's why we offer a competitive salary, along with equity and a comprehensive benefits package. Our benefits include medical, dental, vision, PTO, and a 401(k) plan, ensuring our employees are well taken care of.
Key Responsibilities
Excel in identifying and solving complex problems of any scale.
Plan and design reliable and effective solutions.
Commit to seeing challenges through to the end, learning and innovating along the way.
We value individuals with a Master's or higher degree in Computer Science or Software Engineering, or those with 3+ years of relevant experience. Experience with  CUDA ,  HIP ,  DPC++ , or  SYCL  is highly desirable, as is proficiency in  C ,  C++ , and  Python  programming.
If you have a background in Compiler Engineering, Kernel Engineering, or GPU Engineering, this role may be perfect for you. Additionally, experience with high-performance and parallel computing, as well as programming DSPs, FPGAs, or GPUs, will be advantageous. We also welcome candidates with experience in open-source contributions or early-stage startups.
Seniority level  Mid-Senior level
Employment type  Full-time
Job function  Software Development

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Overview  The Space & Survivability Lab is seeking an enthusiastic  Research Engineer  to join our team on-site at SRI International’s Menlo Park, California headquarters. The Researcher will have the opportunity to make important contributions to on-going and future R&D programs in electromagnetic modeling of antennas and advanced radar systems.
In this role you will:
Perform full-wave electromagnetic simulations to evaluate and optimize antennas
Assist with fabrication and testing of antennas
Employ models to calculate radar cross section and evaluate radar system performance
Conduct business development and contribute to white papers and proposals
Provide technical briefings and reports and support client engagement
Collaborate with multi-disciplinary staff
The successful candidate will be creative, self-motivated, demonstrate strong analytical and problem-solving skills, and work well in a team.
Responsibilities   Apply antenna concepts and terminology to inform the design and optimization of antennas
Use commercial software such as Ansys HFSS, COMSOL Multiphysics, or Lumerical to analyze and optimize antennas
Assist with fabrication and testing of antennas, including anechoic chamber measurements
Review literature to identify competing approaches and alternative solutions
Contribute to project reports and customer briefings
Contribute to white papers and proposals
Qualifications   PhD in Electrical Engineering or related discipline or MS in Electrical Engineering or related discipline with 2 years of relevant experience
Experience with commercial electromagnetic modeling software such as Ansys HFSS, COMSOL Multiphysics, or Lumerical required
Knowledge of antennas, radar and RF communications systems required
Familiarity with RF and microwave measurement methods and equipment required
U.S. Citizenship with the ability to obtain/maintain DoD security clearance required
Current/Active clearance is a plus
Excellent verbal and written communication skills
Ability to work on-site in Menlo Park, CA
Ability to do limited travel required
The salary range is: $123,860-184,235. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package.

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Meta is seeking a Research Engineer to join the Fundamental AI Research (FAIR) team, a research organization committed to advancing the field of artificial intelligence. We are seeking individuals who are passionate in solving engineering challenges in developing new algorithms and software to accelerate our progress towards advanced machine intelligence. Candidates will have an opportunity to make fundamental contributions on improving both the training and inference efficiency of deep learning models and apply their ideas at an unprecedented scale. Some aspects of this role require optimization algorithms design, implementation and deployment, especially on large-scale distributed infrastructure.
Research Engineer, Fundamental AI Research - CoreML and Optimization Responsibilities:   Carry out cutting-edge research to advance the field of machine learning and artificial intelligence.
Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Devise rigorous engineering and data-driven approaches for efficient training of AI models and algorithms implementation.
Contribute research that leads to innovations in optimization algorithms, distributed computing, and novel AI model architecture.
Collaborate with research scientists and cross-functional partners in a team environment.
Publish research results and contribute to research that impacts Meta product development.
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.
Master's degree in Computer Science, Computer Engineering, a relevant technical field, or 2+ years of equivalent domain-specific industry experience.
Experience with Python, C or C++ or other related languages and with the PyTorch framework.
Development experience in training large-scale AI models and performance evaluation, and familiarity with model architectures such as convolutional nets and Transformers.
Experience in 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.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:   PhD in the field of Computer Science, Computer Engineering, Artificial Intelligence, or a relevant technical field, or equivalent practical experience.
Proven track record of achieving significant results and publications as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, ICML, ICLR, MLSys, or other similar venues.
Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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 accommodations-ext@fb.com.
$56.25/hour to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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Meta FAIR is one of the top industrial research organizations in the world. In the FAIR Perception team, we publish groundbreaking papers (e.g., SAM, SAM 2, Masked Autoencoders, Hiera) and collaborate closely with Applied Research and Meta production teams to bring the latest research findings to Meta's products for connecting billions of users. We are driving an ambitious agenda building on the success of SAM, SAM 2 and other related works to create foundation models for computer vision and language. We drive impact by developing state-of-the-art models, massive scale datasets, and compelling interactive demos. We are looking for engineers who share an interest in software engineering and computer vision research. AI Research Engineer, Computer Vision - FAIR Responsibilities <ul><li>Leading, collaborating, and executing on research that pushes forward the state of the art in computer vision</li><li>Contributing to experimental design, implementation, evaluation, and reporting results</li><li>Working with and creating large datasets and evaluation benchmarks</li><li>Collaborating with scientists and engineers in a large cross-functional team</li><li>Building optimized software tooling and infrastructure to accelerate research outcomes</li></ul> Minimum Qualifications <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Masters degree in Computer Science or related technical field, or equivalent practical experience.</li><li>3+ years of experience in one or more of the following areas: Deep Learning, Computer Vision, Computer Graphics, Robotics, or AI-Infrastructure</li><li>Experience coding software and executing complex experiments</li><li>Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception</li><li>Experience with Python and PyTorch</li></ul> Preferred Qualifications <ul><li>PhD in computer vision and/or machine learning or related areas</li><li>Author-Contributed Research Publications in AI conferences like ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, etc.</li><li>Experience with C++, CUDA and model optimization</li></ul> For those who live in or expect to work from California if hired for this position, please click here for additional information. 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. $70.67/hour to $208,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here . Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

Meta is seeking a Research Engineer to join the Fundamental AI Research (FAIR) team, a research organization committed to advancing the field of artificial intelligence. We are seeking individuals who have experience in solving engineering challenges in developing new algorithms and software in order to accelerate our progress towards advanced machine intelligence. Candidates will have an opportunity to make fundamental contributions on improving both the training and inference efficiency of deep learning models and apply their ideas at an unprecedented scale. Some aspects of this role require optimization algorithms design, implementation and deployment, especially on large-scale distributed infrastructure. Research Engineer, Fundamental AI Research - CoreML and Optimization Responsibilities <ul><li>Carry out cutting-edge research to advance the field of machine learning and artificial intelligence.</li><li>Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).</li><li>Devise rigorous engineering and data-driven approaches for efficient training of AI models and algorithms implementation.</li><li>Contribute research that leads to innovations in: optimization algorithms, distributed computing, and novel AI model architecture.</li><li>Collaborate with research scientists and cross-functional partners in a team environment.</li><li>Publish research results and contribute to research that impacts Meta product development.</li><li>Open source high quality code and produce reproducible research.</li></ul> Minimum Qualifications <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Master's degree in Computer Science, Computer Engineering, a relevant technical field, and 4+ years of equivalent domain-specific industry experience.</li><li>Experience with Python, C or C++ or other related languages and with the PyTorch framework.</li><li>Development experience in training large-scale AI models and performance evaluation, and familiarity with model architectures such as convolutional nets and Transformers.</li><li>Experience in solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.</li><li>Experience working and communicating cross functionally in a team environment.</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 the field of Computer Science, Computer Engineering, Artificial Intelligence, or a relevant technical field, or equivalent practical experience.</li><li>Proven track record of achieving significant results and publications as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, ICML, ICLR, MLSys, or other similar venues.</li><li>Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).</li></ul> For those who live in or expect to work from California if hired for this position, please click here for additional information. 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. $70.67/hour to $208,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here . Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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.

Research Engineer, Language - Generative AI 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:   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.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
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).
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 accommodations-ext@fb.com.

$70.67/hour to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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Research Engineer Jobs in Menlo Park, CA

Research Engineer Computer Vision PhdApril 14, 2025

Ai Research Engineer Computer Vision FairApril 7, 2025

Research EngineerApril 4, 2025

Research Engineer Antenna DesignMarch 31, 2025

Research Engineer Fundamental Ai Research Coreml And OptimizationMarch 31, 2025

Ai Research Engineer Computer Vision FairMarch 30, 2025

Research Engineer Fundamental Ai Research Coreml And OptimizationMarch 30, 2025

Research Engineer Language Generative AiMarch 28, 2025