Senior ML Tracking Engineer — Real-Time AI Infra

Anduril Industries

Waltham (MA)

Vor Ort

USD 220.000 - 292.000

Vollzeit

Vor 12 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Equity grants
Comprehensive benefits

Zusammenfassung

Anduril Industries seeks a Senior Software Engineer to join the Battlespace Awareness team. You will provide software engineering support for core tools and help stand up ML infrastructure to optimize parameters and detect CI regressions.

The role targets professionals with ML experience and hands-on coding in Python, C++, or Rust, with a focus on low-latency systems and secure, scalable software in a defense context.

Qualifikationen

  • Professional experience in Python, Rust, C++, or C with a clear track record.
  • Strong software engineering fundamentals including OO, FP, and REST API design.
  • Experience building low-latency or real-time software.
  • Experience with software testing including Robot Framework.
  • Comfortable using AI coding assistants (Claude or Codex).
  • Experience with GitHub and CI/CD pipelines.
  • ML background in hyperparameter optimization, anomaly detection, explainable ML.
  • Authorized to work in the United States and eligible for a US security clearance.

Aufgaben

  • Provide software engineering support for the Battlespace Awareness tools.
  • Stand up ML infrastructure to optimize system parameters and detect regressions in CI.
  • Collaborate in a fast-paced, mission-critical defense environment.

Kenntnisse

Python
C++
Rust
C
REST API design
Low-latency software
CI/CD
GitHub
AI coding assistants
ML deployment

Ausbildung

Master's degree or PhD in ML or related field
2–3+ years ML experience

Tools

GitHub
CI/CD pipelines
Robot Framework testing

Jobbeschreibung

Anduril Industries seeks a Senior Software Engineer to join the Battlespace Awareness team. You will provide software engineering support for core tools and help stand up ML infrastructure to optimize parameters and detect CI regressions.

The role targets professionals with ML experience and hands-on coding in Python, C++, or Rust, with a focus on low-latency systems and secure, scalable software in a defense context.

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