Scale AI is seeking highly skilled and motivated Senior Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will:<ol><li>Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure.</li><li>Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.</li><li>Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners.</li><li>Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.</li><li>Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.</li><li>Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.</li><li>This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.</li></ol> Ideally you'd have:<ol><li>Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases.</li><li>Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.</li><li>Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.</li><li>Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial.</li><li>Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.</li><li>Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.</li><li>Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.</li></ol> 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.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.
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Software Engineer, GenAI Model Evaluation  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
Work across backend, frontend, and interacting with LLMs and/or other ML models
Deliver experiments at a high velocity and level of quality to engage our customers
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.
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
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 be able to work independently or 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.
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.
The base salary range for this full-time position in the location of San Francisco is:
$160,000 — $192,000 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.
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.

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Software Engineer Scale Ai, Inc. Jobs

Software Engineer FederalJanuary 1, 2025

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Software Engineer Federal
January 1, 2025

Software Engineer Genai Safety Evaluation Epd San Francisco Ca
December 25, 2024