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Research Engineer, Computer Vision and Multimodal - GenAI
MetaMenlo Park, United Statesfull_timeVerifiedPosted 30 Jul 2024
💰 $208,000/yr($141,340/yr – $208,000/yr)
About the role
Meta is seeking a Research Engineer to join our Llama Multimodal team building really large scale Llama models on some of the largest training clusters with extremely large volumes of data leading to unforeseen multimodal capabilities. We are looking for research engineer specialized in generative AI, multimodal reasoning, computer vision, 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 datasets and models.Research Engineer, Computer Vision and Multimodal - GenAI Responsibilities
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.
- Leading, collaborating, and executing on research that pushes forward the state of the art in multimodal reasoning and generation research
- Contributing to experimental design, implementation, evaluation, and reporting results
- Working with and creating large datasets and benchmarks
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Masters in computer science, computer engineering, or relevant technical field
- 3+ years of industry experience in computer vision and/or machine learning
- Research experience in one or more of these areas: computer vision, multimodal perception, NLP, vision-language
- Experience writing software and executing complex experiments
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- 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
- Publication record at AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, EMNLP, and ACL)
- Hands on experience working with really large scale models and datasets
- Background in multimodal LLM or computer vision
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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