Sr. AI Engineer, Special Programs - Top Secret Clearance

SpaceX

Quick summary

Work type
On-site
Location
Palo Alto, CA
Salary
$220,000–$350,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $285k
$143k most similar roles pay here $372k

This role pays more than 91% of similar roles. Most pay $165,402–$246,150 — the shaded band above. At the midpoint, this role pays about $285k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

Most-posted roles

View all roles at SpaceX

At a glance

TL;DR · Sr. AI Engineer, Special Programs - Top Secret Clearance

Senior AI engineers at this company work closely with U.S. federal agencies to develop and deploy mission-critical AI solutions, ensuring they meet stringent safety, transparency, and ethical standards. Daily responsibilities include identifying pain points, designing software specifications, benchmarking models, and developing evaluation frameworks to assess performance and compliance. The role also involves enhancing model performance through fine-tuning and building internal tooling for secure environments. Candidates should have a strong background in computer science or related fields with at least 5 years of experience in scalable system development, preferably with AI/ML applications. Proficiency in Python or TypeScript, understanding of HTTP protocols, and expertise in deploying machine learning models to production are essential. Experience with infrastructure-as-code tools like Pulumi or Terraform is a plus, as well as familiarity with government-aligned deployments and high-stakes contexts.

What you'll do

  • Identify and scope product specifications for AI-powered software in government or enterprise use cases.
  • Develop evaluation frameworks to assess performance of AI models, addressing weaknesses and ensuring compliance.
  • Enhance model performance through system prompt tuning or fine-tuning for secure and scalable deployment.
  • Analyze request logs and system outputs to ensure reliability and audibility of AI systems.
  • Build internal tooling to streamline workflows and automate tasks in secure environments.

What we're looking for

  • 5+ years of hands-on software engineering experience in scalable systems or AI/ML applications.
  • Active Top-Secret clearance required for government projects.
  • Expertise in designing and deploying robust, secure AI solutions with compliance standards.
  • Proficiency in Python and TypeScript, understanding HTTP protocol and secure API design.
  • Experience building evaluation frameworks and deploying machine learning models to production.

More like this

Similar roles

Sr. AI Engineer, Special Programs - Top Secret Clearance

SpaceX

Washington, DC today $220,000$350,000
Python TypeScript Terraform Pulumi API design HTTP protocol Machine learning Model evaluation Training Fine-tuning Scalable systems Secure environments Infrastructure-as-code Cloud-based deployments Documentation SDK maintenance

AI Engineer, Special Programs - Top Secret Clearance

SpaceX

Palo Alto, CA today $125,000$220,000
Python TypeScript HTTP API design Terraform Pulumi Machine learning AI systems Evaluation frameworks Cloud deployment Secure environments Infrastructure-as-code Documentation SDKs Scalable systems High-throughput workloads Data analysis System performance optimization

AI Engineer, Special Programs - Top Secret Clearance

SpaceX

Washington, DC today $125,000$220,000
Python TypeScript HTTP API design Terraform Pulumi CI/CD machine learning model evaluation training fine-tuning secure API design data analysis system performance optimization massive datasets production deployment cloud-based environments SDK maintenance developer documentation AI evaluation frameworks