2 months ago
Base Salary
$124k - $162k/yr
Responsibilities
- Build and ship customer-facing software products and features at scale.
- Develop reinforcement learning and post-training data pipelines for frontier model development.
- Create evaluation infrastructure for measuring model reliability.
- Build agentic AI applications and tooling that is observable, testable, and safe to deploy.
- Develop fraud detection, contributor quality, matching, and contributor-growth systems.
- Create efficient UI/UX tooling and AI infrastructure products for exploring and querying Scale data.
- Build customer service RAG applications and integrate machine learning models into customer systems.
- Work directly with customers to determine product requirements and iterate on delivered solutions.
Requirements
- Graduate in Fall 2026 or Spring 2027 with a bachelor's degree or equivalent in a relevant field such as Computer Science, EECS, Computer Engineering, or Statistics.
- Have product engineering experience building full-stack web applications, integrating APIs and services, engaging with customers, and iterating on product requirements.
- Have previous product or software engineering internship experience.
- Demonstrate a track record of shipping high-quality products and features at scale.
- Have experience building systems that process large volumes of data.
- Have experience with Python, TypeScript, React, and/or MongoDB.
- Hands-on experience with LLMs, evaluations, or agentic systems is preferred.
- Open source contributions or a portfolio of shipped side projects are preferred.
Benefits
- Base salary for the San Francisco location is $124,000–$162,000, with eligible roles also offering equity-based compensation.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, a learning and development stipend, and generous paid time off.
- Potential commuter stipend and other additional benefits depending on eligibility.
- Full-time position based in San Francisco.
Tech Stack
Categories
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.