We're seeking a researcher to advance the frontier of audio capabilities. You'll explore how audio models enable more natural and efficient communication/collaboration, preserving more information and capturing user intent.
\nThis is a highly collaborative role. You'll work closely across pre-training, post-training, and product with world-class researchers, infrastructure engineers, and designers.
\nAs a researcher in this role, you'll be expected to:
\nShare code, datasets, and insights that accelerate progress across industry and academia.
\nThis role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports.
\nIt's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.
\nXML job scraping automation by YubHub
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\nDay-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.
\nThe ideal candidate has 7+ years of experience building production-grade software applications, including both backend services and modern web frontends. They should have strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript).
\nIn addition to technical skills, the successful candidate will be a curious and creative problem-solver who is passionate about building user-facing applications that turn complex data into intuitive experiences. They should be able to take ownership of complex systems end-to-end, from design through deployment and iteration.
\nAt CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
\nitertools[''] -> Be Curious at Your Core itertools[''] -> Act Like an Owner itertools[''] -> Empower Employees itertools[''] -> Deliver Best-in-Class Client Experiences itertools[''] -> Achieve More Together
\nWe support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.
\nXML job scraping automation by YubHub
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\nYour work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You'll architect systems that are fast, correct, and maintainable.
\nYou'll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture,but we care more about good judgment than specific tool experience.
\nResponsibilities
\nRequirements
\nNice to Have
\nWhy Join Us
\nYou will design the core data services and pipelines that power our product experience, analytics, and business operations. You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency. You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem.
\nBenefits
\nXML job scraping automation by YubHub
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