Research Scientist / Engineer

Safer Ai; Paris; Sur place; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement plans

50% home transportation

Productivity expenditures up to €2k

Office space

Résumé du poste

SaferAI is seeking a Research Engineer or Research Scientist to join the Evaluations team in Paris, with opportunities to influence risk management across frontier AI labs. You will develop threat models, run evaluations, and deliver rigorous reports while advancing safety practices with international partners.

A fast-growing environment, competitive compensation, and flexible remote options are offered. This role emphasizes hands-on AI safety work, collaboration across teams, and delivering

Qualifications

• MS or PhD in computer science, machine learning, AI safety, or related technical field.
• Hands-on experience developing, deploying, or evaluating AI systems in frontier AI contexts.
• Ability to deliver projects in fast-paced and evolving environments.

Responsabilités

• Develop threat models and benchmarks to measure risk.
• Run model evaluations on leading AI models using elicitation best practices and Inspect AI.
• Analyze results and write high-quality technical reports; contribute to safety mitigations and tools.

Connaissances

AI safety

Model evaluations

Threat modeling

Technical writing

Formation

MS/PhD in CS/ML/AI safety

Outils

Inspect AI

AWS

EKS

Description du poste

SaferAI is hiring for a Research Engineer or Research Scientist on its Evaluations team. This role offers a direct opportunity to shape how the world's leading AI companies manage risk at a pivotal moment.

About SaferAI

SaferAI is a fast-moving, mission-driven organization advancing and promoting AI risk management to reduce AI risks, in particular extreme risks from advanced AI systems. We’re uniquely positioned at the intersection of technical research work and policy, ensuring that the knowledge we produce has an impact on AI risk management.

SaferAI’s work centers around frontier AI risk management, and we have been responsible for major contributions to AI risk management of general-purpose AI models. We are a primary contributor to EU risk management standards, and we were influential in drafting the EU GPAI Code of Practice. We released the first AI risk management framework that combines traditional risk management and frontier AI safety policies, co-drafted G42’s Frontier AI Safety policy, and advised several other frontier AI companies on their policies and practices. We developed the first AI risk management assessment of AI companies’ risk management practices, informing the decisions of major investors. We developed a methodology for quantitative risk modeling , applied it to develop nine cybersecurity risk models , and are now implementing risk modeling as part of the EU Commission tender and partnering with multiple AI safety institutes globally.

Responsibilities

This role will join the Evaluations team and help improve how leading AI labs track and manage risk. The evaluations team runs model evaluations and delivers risk reports to leading AI labs and supports them with improving their safety practices. For our model evaluations, we use METR’s Hawk platform to run Inspect AI on AWS.

As a Research Engineer or Research Scientist, you will help drive the team’s model evaluation and mitigations work. For evaluations, this includes developing threat models, identifying the most relevant available benchmarks to measure risk, running those benchmarks on leading AI models while ensuring strong elicitation and careful quality control, debugging technical issues, analyzing the results, drawing conclusions on risk, and writing high-quality technical reports. For safety practices, this includes developing demonstrations of safety mitigations, developing products and tools to mitigate risk, and supporting leading AI labs with mitigation implementation.

SaferAI has begun performing safety evaluations for frontier developers and is in active discussions with others across European, US and East Asian markets. This is a rare opportunity to shape how the world’s most capable AI companies manage risk.

This role will join a new team on a rapid growth trajectory. This is a chance to learn fast and take on significant responsibility early. Your decisions and ability to deliver will make an immediate difference to the team’s impact.

• Familiarity with AI safety and evaluation methodologies, including capability evaluations, red-teaming, safety cases, and model cards, and the ability to assess their efficacy.
• Hands-on experience running model evaluations, including elicitation best practices, LLM provider APIs, and Inspect AI.
• In addition, the following are helpful but not essential:
• Familiarity with cloud infrastructure, including Inspect Hawk, AWS, and EKS.
• Threat modeling experience.
• Familiarity with AGI safety and governance work, alongside safety and policy issues related to technology and society more broadly.

Background and professional experience

• M.S. or Ph.D. in computer science, machine learning, AI safety, or a related technical field.
• 1+ years of hands‑on technical experience with AI systems development, deployment, or safety engineering at a frontier AI company, AI product company, or AI research organization.
• Significant experience supporting teams to deliver projects in fast‑paced and constantly evolving environments.

Client engagement and communication

• Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence.
• Comfortable with ambiguity and able to provide "good enough" solutions to open‑ended problems and switch between problems to prioritize the most impactful opportunities.
• Exceptional problem‑solving skills and skills in thinking logically about the big picture, identifying areas of improvement, and driving change.

Delivery and project management

• Ability to produce clear written deliverables such as gap analyses, methodology documents, or implementation roadmaps under time pressure and with incomplete information.
• Comfort operating in a fast‑moving, under‑defined field where precedent is scarce and judgment must substitute for established playbooks.
• Highly collaborative and service‑oriented, used to working in diverse teams.
• Ability to work effectively in a remote, asynchronous, and international environment

Mission alignment

• Motivation to operate at the frontier of a field that does not yet have settled answers and to contribute to building a methodology that others will eventually follow.
• Alignment with SaferAI’s mission to ensure that advanced AI technologies are safe through risk management practices, policy, and safe technology development.

Chinese language skills would be a significant plus, as we sometimes speak with technical staff at Chinese frontier AI labs.

What we offer

Work location: SaferAI’s team members are mostly based in Paris and London, and we are setting up a presence in the San Francisco Bay Area. We have a preference for new joiners to be based at one of these locations. However, we are willing to consider remote arrangements for particularly strong candidates. We work in English, so French language skills are not required for this position.

Compensation: We offer a competitive salary for the European technical AI Safety ecosystem, commensurate with experience and location.

Benefits:

• Health insurance coverage and retirement plans adapted to the location
• Transportation home to work covered at 50%
• Productivity expenditures up to €2k annually
• Office space if relevant

How to Apply

To apply for this position, please complete this application form . We will evaluate candidates on a rolling basis starting now until we fill the role. We are aiming to fill the role quickly, and we’ll take down the page on our website as soon as the role is filled.

Our hiring process comes in stages and usually consists of initial screening, a first interview, a paid work test, interviews, and a final 3‑day paid work trial where you would directly collaborate with the team.

We encourage you to lean towards applying, even if you don’t have all the skills and experience required.
If you have any questions or concerns throughout the application process, please don’t hesitate to reach out to us at [e-mail] . We look forward to reviewing your application.