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Описание вакансии
Текст:
TL;DR
Software Engineer - New Grad (AI): Building customer-facing AI products, data pipelines, evaluation infrastructure, and scalable software systems with an accent on product engineering, machine learning integrations, and high-volume data processing. Focus on developing agentic applications, fraud-detection systems, matching algorithms, RAG applications, and reliable tooling for frontier model development.
Location: Not specified
Company
Scale AI develops reliable AI systems, high-quality data products, and full-stack technologies for enterprises, governments, and leading AI model developers.
What you will do
- Build reinforcement learning, post-training data, and model evaluation infrastructure for frontier AI development.
- Develop agentic AI applications and tooling that makes systems observable, testable, and safe to deploy.
- Create fraud-detection, contributor-quality, and advanced matching systems for Scale's platform.
- Build efficient UI/UX tooling and ML-powered products for large-scale contributor workflows.
- Develop AI infrastructure products for visualizing, querying, and exploring data.
- Ship customer-facing applications, including RAG systems and ML-powered retention integrations, while working directly with customers and iterating on products.
Requirements
- Graduation in Fall 2026 or Spring 2027 with a bachelor's degree or equivalent in Computer Science, EECS, Computer Engineering, Statistics, or a related field.
- Product engineering experience, including building full-stack web applications and integrating APIs and services.
- Previous product or software engineering internship experience.
- Experience shipping high-quality products and features at scale and building systems that process large volumes of data.
- Experience with Python, TypeScript, React, and/or MongoDB.
Nice to have
- Hands-on experience with LLMs, evaluations, or agentic systems through internships, research, or personal projects.
- Open-source contributions or a portfolio of shipped side projects.
Culture & Benefits
- Customer-focused, collaborative working principles centered on quality, measurable impact, and thoughtful execution.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity compensation for eligible roles.
- Inclusive equal opportunity workplace with reasonable accommodations for applicants with disabilities.
Hiring process
- Compensation and level are determined during the interview process based on location, qualifications, skills, experience, education, and interview performance.
- Candidates may not be reconsidered for the same role until 90 days after a previous application.
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