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Internship Spacex Machine Learning Jobs in Tennessee

Preferred : • Experience supporting compute-heavy environments like AI, machine learning, or high ... of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001 ...

We are a global leader in human resources technology, offering the latest AI and machine learning ... One to two years of prior work experience or internships in Retail, Marketing, Business Development ...

We are a global leader in human resources technology, offering the latest AI and machine learning ... One to two years of prior work experience or internships in Retail, Marketing, Business Development ...

This internship is designed for someone at the beginning of their engineering career who wants to ... This is an excellent opportunity to apply classroom learning in a plant setting, strengthen your ...

This internship is designed for someone at the beginning of their engineering career who wants to ... This is an excellent opportunity to apply classroom learning in a plant setting, strengthen your ...

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Internship Spacex Machine Learning information

What is the difference between Internship Spacex Machine Learning vs Data Science Intern?

AspectInternship Spacex Machine LearningData Science Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some experience in MLStatistics, programming, data analysis skills, often a related degree
Work EnvironmentHands-on projects in aerospace, collaborative teams, fast-pacedData analysis, modeling tasks, diverse industries, team-based
Employer & Industry UsageSpaceX, aerospace, technology innovationVarious industries including tech, finance, healthcare

Internship Spacex Machine Learning focuses on applying ML techniques to aerospace challenges at SpaceX, emphasizing engineering and technical skills. Data Science Internships are broader, covering data analysis and modeling across multiple industries. Both roles require programming and analytical skills but differ in industry focus and project scope.

What are the most commonly searched types of Spacex Machine Learning jobs in Tennessee? The most popular types of Spacex Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Internship Spacex Machine Learning jobs? Cities in Tennessee with the most Internship Spacex Machine Learning job openings:

Site Operations Manager

xAI

Memphis, TN • On-site

Full-time

Posted 5 hours ago


Job description

Job Summary:
xAI is dedicated to creating AI systems that enhance human understanding and knowledge. As the Site Operations Manager, you'll oversee the data center technicians, ensuring the AI infrastructure operates efficiently while implementing sustainable solutions and managing critical operations.
Responsibilities:
• Oversee Site Operations: Manage power, cooling, networking, and hardware deployments to ensure 99.999% uptime for xAI’s AI compute systems, keeping our infrastructure reliable and ready for innovation.
• Guide Your Team: Lead and develop a team of Data Center Operations Technicians through training, performance evaluations, and fostering a collaborative, high-performing environment tied to xAI’s objectives.
• Streamline Processes: Take charge of hardware lifecycles, incident resolution, and inventory management, refining procedures to ensure your team operates with precision and consistency.
• Connect Key Players: Coordinate between technicians, xAI’s AI specialists, and external vendors to integrate new technology and expand capacity seamlessly.
• Drive Sustainable Solutions: Champion energy-efficient practices and sustainability efforts, optimizing resources while supporting the demands of cutting-edge AI workloads.
• Measure Success: Track and report key metrics like uptime, power efficiency, and issue resolution times, using data to enhance site performance and inform decisions.
• Handle Emergencies: Lead the team through urgent situations with clear direction, resolving issues quickly to protect our AI systems from disruption.
• Optimize Operations: Build and refine processes—such as preventative maintenance schedules with vendors and ticket workflows in Jira—to keep operations efficient and scalable.
• Support Expansion: Work with leadership to standardize best practices across sites (if applicable), ensuring operations align with xAI’s ambitious growth plans.
Qualifications:
Required:
• 5+ years of experience in data center operations or similar critical environments, with 3+ years managing technical teams.
• Proven ability to lead teams effectively in fast-paced, high-responsibility settings.
• Solid expertise in server hardware, cabling, and data center technologies, from setup to lifecycle management.
• Ability to thrive in a dynamic, mission-focused environment with occasional on-call duties.
• Willingness to travel to data center locations as needed to support operations.
• Physical capability to handle data center tasks, including lifting up to 50 lbs, standing for long periods, and occasional ladder use.
Preferred:
• Experience supporting compute-heavy environments like AI, machine learning, or high-performance computing.
• Proficiency with tools like Jira and managing collaborative workflows across teams.
• Strong analytical skills and the ability to explain technical concepts clearly to diverse audiences.
• Familiarity with scripting (e.g., Python, Bash) to automate tasks and boost team efficiency.
• A history of partnering with vendors, scaling operations, and advancing sustainability initiatives.
• Enthusiasm for xAI’s mission to accelerate human discovery and unravel the universe.
Company:
xAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.