Senior Software Engineer, GenAI Model Evaluation

About Job

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 dollar 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 evaluations with our human experts constitutes a significant and growing portion of Scale’s work—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 Safety & Evaluation product team, you will partner closely with researchers from Scale’s Safety, Evaluations, and Alignment 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 entrepreneurial Software Engineers to join our team. In this role, you'll be given the opportunity to build these products and drive millions of dollars in revenue. 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.

The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them including both backend and frontend coding, defining requirements, coordinating with other eng and operations teams at Scale, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems.

You will:

• Own large new areas within our product, delivering customer-ready features with engineering excellence that stands up to rigorous quality standards
• Work across backend, frontend, and interacting with LLMs and/or other ML models
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Collaborating with cross-functional teams to define, design, and ship new product features and experiences.
• Be ready to jump in on fast-turnaround product requests for high value customers

Ideally you'd have:

• 5+ years of full-time engineering experience, post-graduation
• Proficiencies in one or more of Python, Node, React, Next.js and MongoDB
• Solid background in algorithms, data structures, and object-oriented programming
• Experience scaling products at hyper-growth startups
• Excitement to work with AI technologies
• Strong written and verbal communication skills, to be able to thrive in a writing-first culture
• Strong problem-solving skills, and be able to work both independently and as part of a team

Nice to haves:

• Strong knowledge of software engineering best practices
• Have experience with AI platforms and technologies, including generative models and LLMs
• Experience building ML infrastructure and AI-powered solutions
• Experience growing new products from 0 to 1

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. 

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