Senior Software Engineer - Machine Learning

Responsibilities

• Provide software engineering and development support for the Battlespace Awareness team’s core tools.
• Build low-latency or real-time software for mission-critical applications.
• Develop software testing, Robot Framework testing, and integration test capabilities.
• Help establish ML infrastructure for hyperparameter optimization and performance-regression detection in CI.
• Apply machine learning techniques including anomaly detection and explainable ML.
• Use GitHub, CI/CD pipelines, and AI coding assistants in the development workflow.

Requirements

• Professional experience using one or more of Python, Rust, C++, or C.
• Strong software engineering fundamentals, including object-oriented programming, functional programming, and REST API design.
• Experience building low-latency or real-time software.
• Experience with software testing, Robot Framework testing, and integration test development.
• Machine learning background in hyperparameter optimization, anomaly detection, and explainable ML such as Bayesian ML.
• Comfort using Claude or Codex as AI coding assistants.
• U.S. work authorization and eligibility to obtain and maintain an active U.S. Secret security clearance.
• Preferred qualifications include TypeScript or JavaScript, React, Node.js, PyTorch, Python FastAPI, CesiumJS, faster-than-real-time simulation, Slackbot integrations, and machine learning model deployment experience.
• A preferred qualification is a Master's or PhD, or 2–3+ years of professional machine learning experience.

Benefits

• Base salary range of $190,000–$252,000 USD.
• Highly competitive equity grants are included in the majority of full-time offers.
• Top-tier full-time employee benefits are available at little to no cost.