Staff Software Engineer, Developer Experience

<p>Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.</p> <p>At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.</p> <p>At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.</p> <p>You will:</p> <ul> <li>Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.</li> <li>Directly manage or mentor small teams of software engineers ranging from new grads to experienced engineers.</li> <li>Collaborate with cross-functional teams to define, design, and deliver new features.</li> <li>Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.</li> <li>Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.</li> </ul> <p>Ideally you’d have:</p> <ul> <li>8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.</li> <li>Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).</li> <li>Show a track record of independent ownership of successful engineering projects.</li> <li>Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</li> <li>Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.</li> <li>Experience with modern web frameworks like NodeJS, NextJS, etc.</li> <li>Experience with modern build systems like Bazel, Buck, Pants, etc.</li> <li>Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).</li> </ul> <p>Nice to haves:</p> <ul> <li>Experience scaling products at hyper-growth startups.</li> <li>Experience with AI development tools or excitement to work with AI technologies. </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary r ... (truncated, view full listing at source)