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Research Engineer, Computer Vision and Multimodal

1 month ago

Menlo Park, United States Meta Full time
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:
  • 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


Minimum Qualifications:
  • 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


Preferred Qualifications:
  • 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


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.

$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.