AI Research Scientist, AI Safety and Security

Meta; Menlo Park (CA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking an AI Research Scientist in AI Safety and Security to advance the science and technology of safe AI systems.

You will design, model, and evaluate novel approaches, working with a focused incubation team and collaborating with a large network of scientists and engineers across the organization.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• Pursuing or holding a PhD in AI/ML, security, or related field.
• Experience in AI safety, alignment, adversarial ML, robustness, or trustworthy AI.
• Experience in safety/security research areas such as alignment techniques, reward modeling, RLHF, or jailbreak prevention.

Responsibilities

• Perform fundamental and applied research to advance AI safety and security.
• Develop methods to ensure AI systems behave safely and as intended.
• Investigate adversarial attacks, model vulnerabilities, and misuse.
• Develop ML/DL algorithms focused on safety and security.
• Define, build and benchmark safety functionalities for next-gen AI.
• Plan and execute research aligned with long-term objectives.
• Collaborate with scientists and engineers across Meta.

Skills

AI safety

Adversarial ML

Model robustness

Trustworthy AI

Cross-functional collaboration

Research leadership

Education

Bachelor's degree in CS/Engineering

PhD in AI/ML/Security or related field

Tools

PyTorch

TensorFlow

Job description

The Research Scientist candidate will use their skills in system design and modeling to advance AI safety and security research. These roles will require research and problem-solving skills to design, develop, and evaluate novel approaches to ensuring AI systems are safe, secure, and aligned with human values. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.

AI Research Scientist, AI Safety and Security Responsibilities:

• Perform fundamental and applied research to advance the scientific and technological frontiers of AI safety and security
• Develop and evaluate methods for ensuring AI systems behave safely and as intended, including alignment techniques and robustness testing
• Investigate paradigms for detecting and mitigating adversarial attacks, model vulnerabilities, and potential misuse of AI systems
• Develop algorithms based on state-of-the-art machine learning and neural network methodologies with a focus on safety and security
• Define, build and benchmark new safety and security functionalities needed for the next generation of AI
• Conduct research towards long-term product goals while identifying intermediate milestones
• Plan and execute novel research based on long-term objectives of the organization

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Machine Learning, Computer Security, a related field, or equivalent practical experience
• Experience with any of the following research areas: AI safety, AI alignment, adversarial machine learning, model robustness, AI security, red-teaming AI systems, interpretability, or trustworthy AI
• Experience in relevant AI safety and security research areas, such as: alignment techniques, reward modeling, RLHF, constitutional AI, jailbreak prevention, model robustness, or adversarial attack detection

Preferred Qualifications:

• Experience working with large language models and evaluating their safety properties
• 2+ years of industry experience in relevant AI safety and security research areas
• Experience building systems based on machine learning and/or deep learning methods
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Security (IEEE S&P, USENIX Security, CCS), or AI Safety venues
• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience working and communicating cross-functionally in a team environment
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affiantative 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.

$154,000/year to $217,000/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.