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United States of America Remote

ML & Agentic Systems Engineer (IC4) at Sourcegraph | United States (Remote)

Company/Recruiter: Sourcegraph

Published on: Oct 23, 2026
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Opportunity type

Job

Location

United States of America

Work arrangement

Remote

Compensation

Not disclosed

Employer

Sourcegraph

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Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Proven experience in machine learning engineering and building complex AI systems.; Strong understanding of agentic system design principles.. Use one concrete example that shows you can Design, develop, and implement advanced ML models and agentic systems..

Check before applying: Confirm that United States of America and the stated work arrangement suit you.

  • No closing date is listed; confirm that the opportunity is still open before applying.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.
Sourcegraph is seeking a highly skilled ML & Agentic Systems Engineer (IC4) to join our dynamic team. We are dedicated to bringing clarity and control to the world’s most complex codebases. With the rapid acceleration of AI in code creation, we recognize the critical need for robust infrastructure that can understand, oversee, and evolve code effectively. Sourcegraph empowers engineering organizations by providing unparalleled visibility across their systems, offering precise context for their AI agents, and enabling coordinated actions at scale.

Job Overview

This role focuses on developing and enhancing the ML and agentic systems that form the core of Sourcegraph's platform. You will contribute to cutting-edge AI solutions that help engineers navigate, understand, and manage vast and intricate codebases.

Key Responsibilities

  • Design, develop, and implement advanced ML models and agentic systems.
  • Integrate and optimize AI capabilities within Sourcegraph's core product offerings.
  • Collaborate with cross-functional teams to define and deliver on AI-driven features.
  • Ensure the scalability, reliability, and performance of agentic systems.
  • Contribute to research and development in areas of code understanding and AI-assisted development.

Requirements

  • Proven experience in machine learning engineering and building complex AI systems.
  • Strong understanding of agentic system design principles.
  • Proficiency in relevant programming languages and ML frameworks.
  • Experience working with large-scale codebases and data.
  • Excellent problem-solving and analytical skills.

What We Offer

  • The opportunity to work on groundbreaking AI technology in software development.
  • A collaborative and innovative remote work environment.
  • A mission-driven company focused on solving significant engineering challenges.
  • Continuous learning and professional development opportunities.

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