xAI'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.

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. About the Role At xAI, we're shaping the future of AI by ensuring our products are safe, dependable, and exceptional for users globally. As an AI Engineer & Researcher on our Product Safety team, you'll pioneer research and develop advanced AI solutions to uphold trust and integrity at scale. This role is your chance to push the boundaries of AI safety through innovative multimodal research and state-of-the-art modeling. What You'll Do Spearhead research to advance multimodal AI capabilities with a focus on safety. Innovate algorithms to optimize neural network performance while embedding robust safety measures. Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes. Partner with experts to integrate safety-focused AI features into high-impact, user-centric products. Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness. Who You Are Experienced with safety and moderation AI models. Experienced with large-scale machine learning systems and multimodal AI development. Adept at designing experiments and analyzing results to refine models iteratively. Hands-on experience with distributed training. Python Rust Interview Process After 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 phone screening with a member of the team. If you clear that interview, you will enter the main process, which consists of four steps : A 45-minute coding interviews focusing on AI / ML-related questions in Python. A 45-minute coding interviews focusing on AI / ML-related questions in Python. Meet & Greet with the wider team. Our goal is to finish the main process within one week. There will be at least one in-person interview. Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range 180,000 - $440,000 USD xAI is an equal opportunity employer. Create a job alert for this search Ai Product Engineer • San Francisco, CA, US

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