AI Engineer & Researcher - Safety (Security)About xAIxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the RolexAI is seeking talented researchers and engineers to improve the safety of our AI systems and ensure that they are maximally beneficial for society.In this role, you will develop AI security systems to mitigate safety risks arising from both misuse and misalignment. You will work across all stages of the model development pipeline, from collaborating with legal and product teams to iterate on policy guidelines, researching and quantifying novel safety threats, running human data collection projects, experimenting with novel post-training and reasoning training recipes, and analyzing the usage patterns of millions of users around the world.FocusCandidates for this role may focus on one or more of the following:Mitigating the potential for catastrophic misuse (e.g. chemical or biological weapons, large-scale cyber attacks)Improving adversarial robustness to emerging attack techniquesDeveloping new approaches to secure tool use against prompt injection attacksBuilding automated systems to continually red team models and productsIdeal experienceThe ideal candidate:has strong software engineering skills,has a background in post-training or evaluating frontier AI systems,is a team player and willing to pick up new skills to get the job done.LocationWe hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation.Interview ProcessAfter submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:Coding assessment in a language of your choice.Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience.Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.Interested in building your career at xAI? Get future opportunities sent straight to your email.Apply for this job*indicates a required fieldFirst Name *Last Name *Email *Phone *Resume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfWhat exceptional work have you done? *In 100 words or less, tell us about a piece of work you are most proud of.In your view, what is the most urgent problem in AI safety right now? *Will you now, or in the future, require sponsorship for employment visa status (e.g., H-1B visa) to legally work for X.AI LLC in the U.S.? * Select...Current companyIf you are currently employed in the field, please tell us the name of your employer.If you are currently employed in the field, please tell us your role including your seniority level (e.g. Software Engineer II).LinkedIn ProfileIf you have a public LinkedIn profile, please provide its URL.X ProfileIf you have a public X profile, please provide its URL.If you have a Google Scholar page, please provide its URL. #J-18808-Ljbffr