Senior Software Engineer, AI Data

<div class="content-intro"><h2><strong>About AssemblyAI</strong></h2> <p>AssemblyAI builds the best-in-class Speech AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences—from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI.</p> <p>We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched <a href="https://www.assemblyai.com/blog/streaming-keyterms-prompting">keyterms prompting feature</a> and <a href="https://www.assemblyai.com/blog/introducing-multilingual-universal-streaming">multilingual support</a>—with more significant improvements on the roadmap.</p> <p>We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for researchers who will shape its future.</p></div><h2>About the Role</h2> <p>We're seeking an exceptional Senior Software Engineer to join our AI Data team. This role is focused on building robust, scalable systems that power our AI data platform. You’ll work on high-impact projects that directly influence our ability to train and evaluate models at scale, with a strong emphasis on software engineering excellence, system reliability, and code quality.</p> <p>As a Senior Engineer, you'll drive technical execution within your team, taking ownership of significant features and components. You should be passionate about writing clean, maintainable code, implementing comprehensive testing strategies, and continuously improving engineering practices. This role requires close collaboration with researchers, platform engineers, and other stakeholders. You'll need to balance technical excellence with pragmatic delivery in a fast-paced startup environment. </p> <h2>What You’ll Do</h2> <h3>Architect Next-Gen AI Data Infrastructure</h3> <ul> <li>Design scalable, future-proof data platforms optimized for AI research workloads</li> <li>Build efficient self-serve data processing pipelines leveraging GCP's advanced services</li> <li>Implement cost-effective storage and monitoring solutions for ML at scale</li> <li>Create flexible training resource management with intelligent queuing</li> <li>Optimize resource allocation for maximum training efficiency</li> <li>Participate in on-call rotation to ensure system reliability</li> </ul> <h3>Advance Technical Excellence</h3> <ul> <li>Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions</li> <li>Streamline existing workflows while introducing new tooling that further reduces complexity</li> <li>Enhance our tooling and documentation to accelerate team velocity and maintain our competitive edge</li> <li>Implement guardrails for cost, quality, and performance</li> <li>Identify and eliminate technical bottlenecks in the data processing and training pipelines</li> </ul> <h2>What You’ll Need</h2> <ul> <li><strong>5+ years of professional software engineering experience</strong></li> <li><strong>Strong proficiency in Python and SQL</strong> with demonstrated ability to write production-quality code</li> <li><strong>Solid understanding of software engineering fundamentals:</strong></li> <ul> <li>Data structures and algorithms</li> <li>System design and architectural patterns</li> <li>Testing strategies (unit, integration, end-to-end)</li> <li>Code review practices and technical collaboration</li> </ul> <li><strong>Experience with:</s ... (truncated, view full listing at source)