About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Gen AI Data Engine 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. Role We're looking for Engineering Managers to join our team. We are building the world's best experts platform, where we use human knowledge to align advanced AI systems. You will be responsible for hiring, training and managing a high performing engineering team. You will: <ul><li>Recruit a high performing engineering team to support the function that you are owning. </li><li>Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects. </li><li>Depending on the function, work closely with customers - some of the most sophisticated ML organizations in the world - to build out products and platforms to achieve customer's research goals. </li><li>Collaborating with cross-functional teams to define, design, and execute strategic roadmap. </li> </ul>Must be able to commute to the San Francisco or NYC Office 3x weekly. Ideally you'd have: <ul><li>5+ years of full-time engineering experience, post-graduation </li><li>1+ year of prior engineering management or equivalent experience, has managed eng team of 5+ </li><li>Have extensive experience in software development </li><li>Experience scaling products at hyper-growth startups </li><li>Excitement to work with AI technologies </li><li>Extremely strong track record as an individual contributor </li><li>Show a track record of mentoring and leading teams in successful projects </li><li>Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders </li> </ul>Nice to haves: <ul><li>Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. </li><li>Have experience with AI platforms and technologies, including generative models and LLMs. </li> </ul> 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 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. 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: $212,000$254,400 USD 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 affirmative action employer and 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.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. As the world adjusts to this new reality, leading tech companies are racing to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To ensure that these models are safe, aligned, and highly useful, they require extremely high quality human-generated data and evaluation. Since before the launch of ChatGPT, through to the latest generation of frontier models coming out today, Scale has been at the forefront of providing the post-training, fine-tuning, and human preference alignment (RLHF) data needed to ensure these models are capable, aligned, and useful via our Generative AI Data Engine . The data we are producing is some of the most important work for how humanity will interact with AI.
As customers train their models on this data, and constantly aim to improve them, a critical need is having trustworthy evaluations of model performance, and an ability to identify weaknesses and potential vulnerabilities. Conducting these human evaluations constitutes a significant and growing portion of Scale’s work—and thus assisting model developers in iteratively understanding where to focus their technical investments.
The GenAI Safety & Evaluation product team at Scale is at the heart of this work, building a world-class customer-facing model evaluation platform. This platform enables customers to easily launch new evaluation workflows, deep dive into evaluation results down to the test case level to understand weaknesses and benchmark performance, and use these insights to drive model development roadmaps. In building this product, you will have a chance to shape the way that models across the industry are evaluated, impacting billions of people around the world. And as a newer product at Scale, you will have the opportunity to build something impactful from the ground up.
As part of the T&E team, you will partner closely with researchers from Scale’s Safety, Evaluations, and Analysis Lab (SEAL) on productization of novel research, as well as Scale’s expert red team, which supports AI safety via rigorous model testing trusted by the White House , major enterprises, and leading model developers.
We’re looking for Senior Engineering Managers to join our team. You will be responsible for hiring, training and managing a high performing engineering team.
You will:
Recruit a high performing engineering team to support the function that you are owning.
Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of researchers and engineers working on Generative AI projects.
Work closely with customers - some of the most sophisticated ML organizations in the world - to build out products and platforms to achieve customer’s research goals.
Collaborate with cross-functional teams to define, design, and execute strategic roadmap.
Must be able to commute to the San Francisco Office 1-2x weekly.
Ideally you’d have:
5+ years of full-time engineering experience, post-graduation
1+ year of prior engineering management or equivalent experience, and have managed eng team of 5+
Experience scaling products at hyper-growth startups
Excitement to work with AI technologies
Extremely strong track record as an individual contributor
Show a track record of mentoring and leading teams in successful projects
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
Nice to haves:
Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team.
Have experience with AI platforms and technologies, including generative models and LLMs.
A knowledge of and interest in the latest developments in AI safety and evaluation.
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:
$212,000 — $254,400 USD
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 affirmative action employer and 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.
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.

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