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обновлено 28 дней назад

Software Engineer - New Grad (AI)

124 000 - 162 000$
Тип работы
fulltime
Грейд
junior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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.

Salary: $124,000–$162,000 USD annually

Company

Scale AI develops reliable AI systems, high-quality data infrastructure, and full-stack technologies for enterprises, governments, and leading AI model developers.

What you will do

  • Build reinforcement learning and post-training data pipelines for frontier model development.
  • Develop evaluation infrastructure and AI infrastructure products for visualizing, querying, and exploring data.
  • Ship agentic AI applications and tooling that makes them observable, testable, and safe to deploy.
  • Build fraud-detection, contributor-quality, and advanced matching systems at large scale.
  • Create efficient UI/UX tooling combined with machine learning algorithms for more than 100,000 contributors.
  • Develop customer-facing applications, including RAG systems and predictive machine learning integrations.

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 full-stack web applications, API and service integrations, customer interaction, and iterative product development.
  • Previous Product Engineering 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.
  • Open-source contributions or a portfolio of shipped side projects.

Culture & Benefits

  • Customer-focused, cross-functional way of working with an emphasis on quality and measurable outcomes.
  • Health, dental, and vision coverage.
  • Retirement benefits, learning and development stipend, and generous paid time off.
  • Equity compensation may be available for eligible roles.
  • A commuter stipend may be available for eligible roles.

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