Scale's mission is to accelerate the development of AI and AI-powered applications. With a focus in human labeling and annotation, Scale services are trusted by industry-leading businesses such as OpenAI, Lyft, Meta, GM, Samsung, Airbnb, Microsoft, Meta, and NVIDIA.Scale works at the frontier of AI development, trust and safety. Our workflows include development of LLM applications for commercial purposes, to improve training data sets via model capabilities, and to discover new evaluations to make models more trustworthy and reliable. We're seeking creative problem solvers, ML researchers, and red team hackers to help us push the frontier of the next generation of AI model capabilities to improve performance and safety.

　　You will:Develop LLM applications to evaluate data quality, solve difficult problems of synthetic data capabilities and to execute business solutions"Jailbreak" and find vulnerabilities in LLMs and other generative AI models. Develop training materials for red teaming and adversarial analysis; conduct training with operation staffDevelop data creation and vulnerability testing scripts in Python/TypeScript; work with ML Engineers and software engineers for robust implementation and in-platform deploymentAbility to analyze and visualize experimental prompt resultsDevelop and teach new prompt engineering methods to ML engineers and software engineering staffYou Have:B.S. or higher in a quantitative majorProficiency writing Python or TypeScript for API-enabled scriptsAbility to conduct analysis of model performance via statistics and data visualizationExperience using frontier-scale LLMs (GPT, Claude, PaLM) programmatically towards specific applications or solutions implementationDemonstrated ability to have built an LLM-based application or hack to serve some novel purposeFamiliarity with LLM evaluation metrics (BLUE, ROUGE, MAUVE, etc.) and statisticsStrong written and verbal communication skillsA creative mindset to drive experimentation and internal R&DNice to haves:Previous experience with AI/LLM developmental work or red teaming a strong plusAcademic work in language models, particular on adversarial robustnessPrevious disclosures of vulnerabilities or security issues in LLMs or other AI modelsExperience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environmentThe base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $200,800 - $240,960. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.

　　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 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 [email protected]. 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.

　　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.

　　Minimum Salary: 200800.00Maximum Salary: 240960.00Salary Unit: Yearly