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Today, the gold standard for securing software systems is human pentesters, but with the rise of artificial intelligence, we're stepping up to scale offensive security to meet the ever-growing demand. AI is transforming the landscape of both cybersecurity and cyberattacks. While millions of people without security expertise are creating software, bad actors are using AI to launch more effective attacks. XBOW fights back with AI-driven superpowers, enabling security teams to stay one step ahead. Backed by Sequoia Capital and Altimeter, and a team that includes the creators of GitHub Copilot and GitHub Advanced Security, XBOW is not just keeping up with the times-we're shaping the future of cybersecurity. Our mission is simple: to defeat the bad actors before they strike, using AI to revolutionize how we approach offensive security. We're building something that must be built, and we're the team to do it. Join us in shaping the next frontier of autonomous security. 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Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You'll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. 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Large-scale language models and speech technologies are evolving rapidly, moving beyond simple interactions into expressive, human-like communication. With high-quality training data, tomorrow's AI can deliver more natural, accurate, and engaging voice experiences across education, entertainment, accessibility, and beyond. That training data begins with you-your voice expertise will help power the next generation of AI. We're looking for a highly skilled Swedish voice acting professional who can bring nuance, clarity, and authenticity to training data. You'll work with cutting-edge AI tools, record and evaluate Swedish speech samples, and provide expert feedback on pronunciation, tone, pacing, and emotional expression to strengthen voice models. On a typical day, you will record scripted material, assess AI-generated outputs for linguistic accuracy and naturalness, annotate errors, and collaborate with our team to refine prompts, evaluation methods, and voice design guidelines. 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