Назад
16 часов назад

Software Engineer - New Grad (AI)

Тип работы
fulltime
Грейд
junior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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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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