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Engineering Manager

Scale AIOnsite

Engineering Manager, Generative AI


Software is eating the world, but AI is eating software.

At Scale, we're building the data engine behind the most advanced LLMs in the world, powering their evolution through RLHF, human evaluation, and alignment. As the industry races to deploy AI into every product, we’re focused on making sure these models are useful, safe, and aligned with human goals.
We’re looking for an Engineering Manager to lead a growing team within our Generative AI group—one of the most dynamic and high-impact teams at Scale. You’ll be building and scaling the tools and infrastructure that enable human experts to evaluate, train, and improve AI models at unprecedented scale.

You will:


  • Lead and grow a team of 4–6 engineers working on critical Gen AI product experiences and platform foundations.
  • Collaborate with product, operations, and other engineering teams across the full product lifecycle—from ideation to production.
  • Own core areas of our expert-facing product, with direct impact on how AI models are evaluated and trained.
  • Architect and deliver full-stack features end-to-end: front-end (React), back-end, system design, testing, and debugging.
  • Launch fast, iterate constantly—deliver experiments with velocity and high quality.
  • Mentor engineers, influence engineering processes, and help shape the team’s culture.
  • Partner directly with internal and external stakeholders—including some of the world’s leading ML organizations.

Ideally you’d:


  • Have 6+ years of engineering experience in fast-paced environments, including 2+ years leading teams.
  • Thrive in high-growth SaaS or AI/ML-focused startups and have shipped high-quality products at scale.
  • Be hands-on and technically strong, with the ability to dive deep into architecture and code.
  • Care deeply about product quality, performance, and user experience.
  • Love working cross-functionally and believe the best solutions come from tight collaboration.
  • Have strong communication skills and can work effectively with both technical and non-technical partners.

Technical skills we’re looking for:


  • Strong proficiency in JavaScript/TypeScript (required)
  • Experience with React.js (strongly preferred)
  • Experience building and scaling systems with MongoDB or similar databases
  • Deep familiarity with REST APIs and full-stack development
  • Ability to troubleshoot and optimize large-scale codebases for performance and scalability

Nice to have:


  • Experience with frontend testing frameworks (e.g. Cypress.js)
  • Background in enterprise SaaS
  • Worked directly on AI evaluation, human-in-the-loop systems, or RLHF workflows

Why Join Scale?


This is a unique opportunity to shape how advanced AI systems are trained and evaluated by humans. You’ll be working on one of the most mission-critical pieces of AI development at a time when the entire world is watching. If you want to push the boundaries of what’s possible with generative AI—and do it alongside a high-caliber, mission-driven team—we’d love to talk.

PLEASE NOTE: 


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.

About Us:


At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture.

We are expanding our team to accelerate the development of AI applications.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. 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 Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. 

PLEASE NOTE:

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our
privacy policy for additional information.

Life at Scale AI

Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Our advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Waymo, OpenAI, Lyft, Zoox, Pinterest, and Airbnb focus on building differentiated models vs. labeling data. Our APIs include: ? Sensor Fusion - the first solution in the market to provide annotation for LiDAR/RADAR/Camera data ? Semantic Segmentation ? 2D Boxes/Polygons ? Video ? 3D Cuboids ? Lines & Splines ? Keypoints ? Data categorization
Thrive Here & What We Value1. Dynamic, fast-growing company in cutting-edge technology projects (AI, machine learning, language model space)2. Affirmative Action Employer and Inclusive Equal Opportunity Workplace3. Celebrating diversity and creating an environment where everyone can bring their whole selves to work4. Providing reasonable accommodations for applicants with physical and mental disabilities, fair hiring process5. Compliance with laws regarding personal data collection and use6. Comprerancial benefits package (health, dental, vision coverage, retirement benefits, learning stipend, PTO, commuter stipend)7. Trusted by industry-leading businesses (OpenAI, Lyft, Meta, GM, Samsung, Airbnb, Microsoft, NVIDIA)8. Commitment to making a difference in the world through AI innovation and continuous improvement9. Collaborative future powered by artificial intelligence

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