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Freelance Spacex Machine Learning Jobs (NOW HIRING)

SpaceX

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$124K - $163K/yr

SpaceX is actively developing technologies to enable human life on Mars. They are seeking a Senior ... OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu ...

SpaceX

Sr. Industrial Hygienist

Bastrop, TX · On-site

$16.25 - $20.25/hr

Familiarity with applying AI or machine learning to safety or exposure data. * Experience in high ... SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

... machine learning algorithms and frameworks Company : SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in ...

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How much do freelance spacex machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for freelance spacex machine learning in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Spacex Machine Learning jobs? The most popular types of Spacex Machine Learning jobs are:
Freelance Spacex Machine Learning jobs near you
Infographic showing various Freelance Spacex Machine Learning job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 20% Full Time, 37% Part Time, 20% Contract, 17% Nights, and 4% Summer. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Sr. AI Engineer, Special Programs - Top Secret Clearance

Sr. AI Engineer, Special Programs - Top Secret Clearance

SpaceX

Palo Alto, CA • On-site

$123K - $168K/yr

Full-time

Re-posted 19 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

13th of 61 rated aerospace companies

Job description

Job Summary:
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. In this role, the Sr. AI Engineer will work directly with end customers to own strategy, execution, and deployment of mission-critical AI solutions for U.S federal agencies.
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.
• Partner with agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback.
• Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact.
Qualifications:
Required:
• Bachelor's degree in computer science, mathematics, computer engineering, physics, or data science.
• 5+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications.
• Active Top-Secret or Top-Secret SCI.
Preferred:
• Demonstrated success working with government agencies, DoD, or federal contractors on AI, software, or data projects.
• 6+ years of software engineering experience, ideally in environments requiring high reliability or security.
• Expertise in designing, implementing, and maintaining robust, scalable, and secure AI-driven solutions that meet stringent compliance and operational standards.
• Proven experience implementing AI or machine learning products with APIs, back-end systems, and front-end interfaces.
• Proficiency in Python and/or TypeScript.
• Strong understanding of the HTTP protocol and secure API design.
• Robust engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
• Experience building evaluation frameworks for AI systems and assessing capabilities in regulated or high-stakes contexts.
• Deep understanding of machine learning fundamentals—model evaluation, training, and fine-tuning—with a focus on production-ready deployments.
• History of deploying machine learning models to production, ideally in secure or cloud-based government environments.
• Expertise in writing developer documentation or maintaining SDKs for technical audiences, including government developers.
• Ability to work with massive datasets, optimize system performance, and scale solutions for high-throughput, mission-critical workloads.
• Familiarity with infrastructure-as-code tools like Pulumi or Terraform, particularly in secure or government-aligned deployments.
• Adaptability to shifting priorities and requirements in a fast-paced, mission-driven startup setting.
• Excellent verbal and written communication skills in English, with experience documenting technical solutions for diverse stakeholders.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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