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 staff
Develop data creation and vulnerability testing scripts in Python/TypeScript; work with ML Engineers and software engineers for robust implementation and in-platform deployment
Ability to analyze and visualize experimental prompt results
Develop and teach new prompt engineering methods to ML engineers and software engineering staff
You Have:
B.S. or higher in a quantitative major
Proficiency writing Python or TypeScript for API-enabled scripts
Ability to conduct analysis of model performance via statistics and data visualization
Experience using frontier-scale LLMs (GPT, Claude, PaLM) programmatically towards specific applications or solutions implementation
Demonstrated ability to have built an LLM-based application or hack to serve some novel purpose
Familiarity with LLM evaluation metrics (BLUE, ROUGE, MAUVE, etc.) and statistics
Strong written and verbal communication skills
A creative mindset to drive experimentation and internal R&D
Nice to haves:
Previous experience with AI/LLM developmental work or red teaming a strong plus
Academic work in language models, particular on adversarial robustness
Previous disclosures of vulnerabilities or security issues in LLMs or other AI models
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
The 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.
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