Research Engineer, Language - Generative AI - Pittsburgh, PA | Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA | Remote, US
- 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.
- 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.
- 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.
- Direct experience in generative AI and LLM research.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. Apply
Job Profile
Regions Countries Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsComputer Science Data processing Data Science Deep Learning Design Engineering Generative AI Language model evaluation LLM LLM alignment Machine Learning Modeling Multilingual modeling Multimodal modeling Natural Language Processing NLP Python PyTorch Recruiting Reinforcement Learning Research Responsible LLMs Technical
Tasks- Adapt machine learning methods for parallel environments
- Contribute to experiments and evaluations
- Contribute to publications and open-sourcing efforts
- Define research goals
- Design methods, tools, and infrastructure for large language models
- Work with a globally distributed team
Bachelor's degree Bachelor's degree in Computer Science Computer Engineering Computer Science Data Science Engineering Equivalent practical experience Master's degree Master’s Degree in Computer Science PhD in AI Physics Relevant technical field
RestrictionsMust obtain work authorization in the country of employment Must obtain work authorization in the country of employment at the time of hire
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9