AI Engineer, Special Programs - Top Secret Clearance
SpaceX · Palo Alto, CA · Starshield AI Engineering
About this role
SpaceX is hiring a mid-level AI Engineer in the machine learning function based in Palo Alto, CA. 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
- Palo Alto, CA
- Department
- Starshield AI Engineering
More roles at SpaceX
Job description
from SpaceX careersSpaceX 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.
- 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.