Scale AI, Inc.
Senior Software Engineer, GenAI Model Evaluation
Scale AI, Inc., San Francisco, California, United States, 94199
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. 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.
As customers train their models on this data, 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, assisting model developers in understanding where to focus their technical investments.
The
GenAI Safety & Evaluation
product team at Scale is building a world-class customer-facing model evaluation platform. This platform enables customers to easily launch new evaluation workflows, deep dive into evaluation results to understand weaknesses and benchmark performance, and use these insights to drive model development roadmaps. You will have the opportunity to shape the way that models across the industry are evaluated, impacting billions of people around the world.
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.
We're looking for entrepreneurial Software Engineers to join our team. In this role, you'll have the opportunity to build products and drive millions of dollars in revenue. You'll also get 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, including both backend and frontend coding, defining requirements, and coordinating with other teams at Scale.
You will:
Own large new areas within our product, delivering customer-ready features with engineering excellence. 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. Collaborate with cross-functional teams to define, design, and ship new product features. 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. Strong problem-solving skills, and ability to work both independently and as part of a team.
Nice to haves:
Strong knowledge of software engineering best practices. 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.
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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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.
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.
#J-18808-Ljbffr
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. 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.
As customers train their models on this data, 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, assisting model developers in understanding where to focus their technical investments.
The
GenAI Safety & Evaluation
product team at Scale is building a world-class customer-facing model evaluation platform. This platform enables customers to easily launch new evaluation workflows, deep dive into evaluation results to understand weaknesses and benchmark performance, and use these insights to drive model development roadmaps. You will have the opportunity to shape the way that models across the industry are evaluated, impacting billions of people around the world.
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.
We're looking for entrepreneurial Software Engineers to join our team. In this role, you'll have the opportunity to build products and drive millions of dollars in revenue. You'll also get 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, including both backend and frontend coding, defining requirements, and coordinating with other teams at Scale.
You will:
Own large new areas within our product, delivering customer-ready features with engineering excellence. 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. Collaborate with cross-functional teams to define, design, and ship new product features. 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. Strong problem-solving skills, and ability to work both independently and as part of a team.
Nice to haves:
Strong knowledge of software engineering best practices. 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.
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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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.
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.
#J-18808-Ljbffr