Facebook
AI Research Engineer, VLLM (vision large language models) - Generative AI
Facebook, Seattle, Washington, us, 98127
Summary:
Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs, with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI, and model controllability. The ideal candidate will have an interest in producing and applying new science/systems/technologies to help us develop and responsibly release vision large language models.
Required Skills:
AI Research Engineer, VLLM (vision large language models) - 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 in multimodal reasoning and generation research.
Work towards long-term ambitious research/development goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research and development that can be applied to Meta's product development.
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Masters in AI, computer science, or related technical fields.
3+ years of experience holding an industry, faculty, or government researcher position.
Publications in machine learning, computer vision, NLP, Audio.
Experience 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:
Industry research & development experiences in generative AI and LLM research.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Fluent in Python and PyTorch (or equivalent).
Publication track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
PhD in AI, computer science, or related technical fields.
Public Compensation:
$70.67/hour to $208,000/year + bonus + equity + benefits
Industry:
Internet
Equal Opportunity:
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 .
#J-18808-Ljbffr
Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs, with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI, and model controllability. The ideal candidate will have an interest in producing and applying new science/systems/technologies to help us develop and responsibly release vision large language models.
Required Skills:
AI Research Engineer, VLLM (vision large language models) - 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 in multimodal reasoning and generation research.
Work towards long-term ambitious research/development goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research and development that can be applied to Meta's product development.
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Masters in AI, computer science, or related technical fields.
3+ years of experience holding an industry, faculty, or government researcher position.
Publications in machine learning, computer vision, NLP, Audio.
Experience 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:
Industry research & development experiences in generative AI and LLM research.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Fluent in Python and PyTorch (or equivalent).
Publication track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
PhD in AI, computer science, or related technical fields.
Public Compensation:
$70.67/hour to $208,000/year + bonus + equity + benefits
Industry:
Internet
Equal Opportunity:
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 .
#J-18808-Ljbffr