Fundamental AI Research Scientist, FAIR (PhD)

Meta; San Francisco (CA); On-site; USD 117,000 - 173,000; Full time

Job summary

Join a pioneering research team at a leading tech firm, focused on advancing AI technologies. As a Research Scientist, you will explore groundbreaking areas like deep learning, NLP, and AI safety, contributing to the understanding of intelligence and technology. This role offers the chance to work on ambitious research projects, collaborate with experts, and influence the AI community through publications and open-source contributions. If you are passionate about pushing the boundaries of AI and want to make a significant impact in the field, this opportunity is perfect for you.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• PhD in Computer Science or a related field is required before joining.
• Strong research background in AI, ML, and computational statistics.

Responsibilities

• Conduct research to advance intelligent machine technologies.
• Publish findings and open source high-quality code.

Skills

Machine Learning

Artificial Intelligence

Computational Statistics

Applied Mathematics

Python Programming

Data Analysis

Education

PhD in Computer Science or relevant field

Job description

Fundamental AI Research Scientist, FAIR (PhD)

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, natural language processing, speech and vision, multimodality, representation learning, AI safety, foundations of generative modeling, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.

Responsibilities

1. Perform research to advance the science and technology of intelligent machines.
2. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
3. Work towards long-term ambitious research goals, while identifying immediate milestones.
4. Influence progress of relevant research communities by producing publications.
5. Open source high quality code and produce reproducible research.

Minimum Qualifications

1. Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
2. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
3. Research publications reflecting experience in theoretical or empirical research.
4. Experience in developing and debugging in Python or similar programming languages.
5. Experience in analyzing and collecting data from various sources.
6. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

1. Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
2. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ACL, EMNLP, ICLR, FacCT, CCS, IEEE S&P, and other similar venues.
3. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
4. Experience collaborating in a team environment on research projects.
5. Experience communicating research for public audiences of peers.

Compensation: $117,000/year to $173,000/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.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.