at Scale AI · 501-1000 employees
Scale AI provides labeled training data and annotation for ML and LLMs across text, audio, images, video and lidar, combining software, human-in-the-loop annotators, APIs and dataset-management platform Nucleus.
<p>Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), 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>This is a horizontal, high-impact <strong>L6 Staff Fullstack Engineer & Architect</strong> position reporting directly to the Director of Contributor Engineering.</p> <p>Instead of being tied to a single domain, your scope is spread across all <strong>Contributor (CB) teams</strong> (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.</p> <p>You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.</p> <p>You will:</p> <ul> <li>Deploy flexibly into critical, fast-moving product initiatives across the CB organization</li> <li>Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.</li> <li>Lead architecture decisions for scalability, reliability, and performance</li> <li>Mentor and uplevel engineers across the team</li> <li>Partner with product and leadership to shape roadmap and priorities</li> <li>Own large, ambiguous problem spaces end-to-end</li> <li>Work across backend, frontend, and ML systems</li> </ul> <p><strong>Ideally you'd have:</strong></p> <ul> <li>7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.</li> <li>Track record of shipping high-quality products and features at scale</li> <li>Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies</li> <li>Proficient in Javascript/Typescript, and SQL</li> <li>Experience with Kubernetes</li> <li>Experience with major cloud providers (AWS, Azure, GCP)</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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</em></p></div><div class="title">Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div class="pay-range"><span>$252,000</span><span class="divider">—</span><span>$315,000 USD</span></div></div></div><div class="content-conclusion"><p><strong><em>PLEASE NOTE: </em></strong><em>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</em></p> <p><strong>About Us:</strong></p> <p><em>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, </em><em>Ernst</em><em> </em><em>&</em><em> Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</em></p> <p><em>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. </em></p> <p><em>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </em><a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC