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A leading technology company is seeking a Research Engineer to join the Fundamental AI Research team. This role involves conducting advanced research in machine learning, contributing to significant innovations, and collaborating with cross-functional partners. A Master's degree or equivalent experience in computer science or a related technical field is required, alongside proficiency in Python and familiarity with AI models. Compensation ranges from $56.25/hour to $173,000/year plus benefits.
Summary:
Meta is seeking a Research Engineer to join the Fundamental AI Research (FAIR) team, a research organization committed to advancing the field of artificial intelligence. We are seeking individuals who are passionate in solving engineering challenges in developing new algorithms and software to accelerate our progress towards advanced machine intelligence. Candidates will have an opportunity to make fundamental contributions on understanding and improving the societal and economic impact of AI and apply their ideas at an unprecedented scale. Some aspects of this role require algorithms design and experimentation, implementation and deployment, especially at the interface of frontier models and society.
Required Skills:
Research Engineer, Fundamental AI Research - Alignment and AI & Society Responsibilities:
Carry out cutting-edge research to advance the field of machine learning and artificial intelligence
Contribute research that leads to innovations in: alignment, personalization, societal and economic impact of artificial intelligence
Devise rigorous engineering and data-driven approaches for efficient training of AI models and algorithms implementation
Collaborate with research scientists and cross-functional partners in a team environment
Publish research results and contribute to research that impacts Meta product development
Open source high quality code and produce reproducible research
Minimum Qualifications:
Minimum Qualifications:
Master's degree in Computer Science, Computer Engineering, a relevant technical field, or 2+ years of equivalent domain-specific industry experience
Experience with Python, C or C++ or other related languages and with the PyTorch framework
Development experience in training large-scale AI models and performance evaluation, and familiarity with model architectures such as Large Language Models, Transformers, and Recommender Systems
Experience in solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
Experience working and communicating cross-functionally in a team environment
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Preferred Qualifications:
Preferred Qualifications:
PhD in the field of Computer Science, Computer Engineering, Artificial Intelligence, or a relevant technical field, or equivalent practical experience.
Proven track record of achieving significant results and publications as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, ICML, ICLR, MLSys, or other similar venues.
Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Public Compensation:
$56.25/hour to $173,000/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.