AI Engineer, Special Programs - Top Secret Clearance

SpaceX · Washington, DC · Starshield AI Engineering

mid machine learning AI Engineer ic
$125,000 – $220,000
USD per year

About this role

SpaceX is hiring a mid-level AI Engineer in the machine learning function based in Washington, DC. The posting calls out experience with Python, TypeScript, Terraform, Pulumi. Compensation is listed at $125,000–$220,000 per year.

Role
AI Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Washington, DC
Department
Starshield AI Engineering

More roles at SpaceX

Automation & Controls Engineer (Facilities)
Hawthorne, CA · mid
Python SQL Automation
Automation & Controls Engineer, Infrastructure & Utility (Starship)
Starbase, TX · mid
Python SQL Networking
Automation & Controls Engineer, Insource Manufacturing (Starlink)
Bastrop, TX · mid
Python SQL Observability
Automation & Controls Engineer, Launch Pad (Starship)
Starbase, TX · mid
Design Systems
Automation & Controls Engineer, Solar Cell Factory (Starlink)
Bastrop, TX · mid
Networking All SpaceX jobs →

Job description

from SpaceX careers

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

AI ENGINEER, SPECIAL PROGRAMS - TOP SECRET CLEARANCE

AI engineers work directly with our end customers to own strategy, execution, and deployment of mission-critical AI solutions for U.S federal agencies. You'll work closely with product, research, infrastructure, and legal/governance teams to deliver high-stakes projects to make current and future models maximally useful for missions while upholding safety, transparency, and ethical standards.

RESPONSIBILITIES:
  • Design, build, and optimize integrations between AI frontier models (e.g., Grok family) and government systems, platforms, and data environments.
  • Identify pain points, scoping product specifications, and designing and building AI-powered software for government or enterprise use cases.
  • Benchmark models and develop evaluation frameworks to assess performance and address weaknesses, ensuring compliance with customer standards.
  • Enhancing model performance through system prompt tuning or fine-tuning, with an eye toward secure and scalable deployment.
  • Analyze request logs, prompt data, or system outputs to ensure reliability and audibility.
  • Build internal tooling to streamline workflows and automate repetitive tasks in secure environments.
    • This is an excerpt. Read the full job description on SpaceX careers →
All machine learning jobs machine learning in Washington, DC Jobs in Washington, DC machine learning salaries machine learning career path
All SpaceX Jobs Browse machine learning roles mid positions