Meta Platforms
Research Engineer, Computer Vision/Multimodal - Generative AI
Meta Platforms, Menlo Park, California, United States, 94025
Research Engineer, Computer Vision/Multimodal - Generative AI
Meta is seeking a Research Engineer with expertise in Computer Vision to join our Generative AI pillar. We conduct in-depth research and engineering to build state-of-the-art foundational models, which we often open-source, like our team's recently released Llama 4. We push boundaries across multiple modalities (e.g., text, speech, image, video) and focus on critical domains such as pre-training, post-training, data training, safety, evaluation, agents, etc. Research Engineer, Computer Vision/Multimodal - Generative AI Responsibilities Lead, collaborate, and execute on developing scalable and effective data curation, model development, and eval systems that push forward the state of the art CV and multimodal research Work towards long-term ambitious research/development goals, while identifying intermediate milestones Directly contribute to experiments, including designing experimental details, building reusable code, running evaluations, and organizing results Drive innovation through seamless collaboration, collective problem-solving, and XFN initiatives Prioritize research and development that can be applied to Meta's product development Minimum Qualifications 2+ years of industry research or engineering experience Experience training large-scale Computer Vision or related AI models/datasets Fluent in Python and PyTorch (or equivalent) Experience leading large scale AI/ML technical projects Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Publication track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) Experience working and communicating cross functionally in a team environment Master or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward $85.10/hour to $251,000/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. 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 with expertise in Computer Vision to join our Generative AI pillar. We conduct in-depth research and engineering to build state-of-the-art foundational models, which we often open-source, like our team's recently released Llama 4. We push boundaries across multiple modalities (e.g., text, speech, image, video) and focus on critical domains such as pre-training, post-training, data training, safety, evaluation, agents, etc. Research Engineer, Computer Vision/Multimodal - Generative AI Responsibilities Lead, collaborate, and execute on developing scalable and effective data curation, model development, and eval systems that push forward the state of the art CV and multimodal research Work towards long-term ambitious research/development goals, while identifying intermediate milestones Directly contribute to experiments, including designing experimental details, building reusable code, running evaluations, and organizing results Drive innovation through seamless collaboration, collective problem-solving, and XFN initiatives Prioritize research and development that can be applied to Meta's product development Minimum Qualifications 2+ years of industry research or engineering experience Experience training large-scale Computer Vision or related AI models/datasets Fluent in Python and PyTorch (or equivalent) Experience leading large scale AI/ML technical projects Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Publication track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) Experience working and communicating cross functionally in a team environment Master or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward $85.10/hour to $251,000/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. 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.