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Applied Machine Learning Engineer - Code Analysis - Remote

Posted 6 days ago
Software Development
Full Time
USA

Overview

The Applied Machine Learning Engineer will work directly with the CEO to develop technology that identifies and resolves bugs in AI-generated code, enhancing developer productivity.

In Short

  • Develop core technology for an API that analyzes application code executions.
  • Use LLMs and traditional program analysis techniques.
  • Identify patterns in user reports to improve the API.
  • Design enhancements for AI tools.
  • Optimize API reliability and performance.
  • Collaborate with the engineering team.
  • Build technology using AI-based analysis.
  • Strong focus on user experiences for developers.
  • Engage in code reviews and architecture discussions.
  • Work with TypeScript and React applications.

Requirements

  • Experience in building new technology using AI.
  • BS, Master’s, or PhD in Computer Science or equivalent.
  • Passion for AI and user experience.
  • Strong design and analysis skills.
  • Excellent communication and collaboration skills.
  • Product-focused coding skills.
  • Experience with TypeScript and React is desired.

Benefits

  • Competitive salary and equity.
  • 20 days PTO.
  • Top-notch health insurance for US employees.
  • Generous budget for equipment and software.
Replay logo

Replay

Replay is an innovative technology company focused on enhancing the capabilities of AI developers through its recently launched API and no-code tool, Nut, which is designed to improve debugging processes. With a strong foundation built over five years and backed by prominent investors such as Andreessen Horowitz and IA Ventures, Replay is committed to delivering high-quality products that streamline app development. The company fosters a collaborative and supportive remote work culture, emphasizing respect, efficiency, and clarity in its engineering practices. Replay values diversity and inclusivity, welcoming individuals from various backgrounds to join its mission.

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