Meta
Research Engineer, Language - Generative AI
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 such as 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.
Base pay range $70,670/yr – $208,000/yr
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
Direct experience in generative AI and LLM research
First author publications at peer‑reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL)
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
Meta builds technologies that help people connect, find communities, and grow businesses. Meta is 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.
$70,670/yr to $208,000/yr + bonus + equity + benefits
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Base pay range $70,670/yr – $208,000/yr
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
Direct experience in generative AI and LLM research
First author publications at peer‑reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL)
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
Meta builds technologies that help people connect, find communities, and grow businesses. Meta is 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.
$70,670/yr to $208,000/yr + bonus + equity + benefits
#J-18808-Ljbffr