xAI
Palo Alto, CA
ML Engineering
Posted over 1 year ago
Verified open on Oct 31, 2026 ยท posted 568 days ago
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 making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
MACHINE LEARNING ENGINEER, RECOMMENDATION SYSTEMS
Weโre seeking exceptional engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. Youโll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.
RESPONSIBILITIES:
BASIC QUALIFICATIONS:
PREFERRED SKILLS AND EXPERIENCE:
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SpaceXSI is an equal opportunity employer. For details on data processing, view ourย Recruitment Privacy Notice.
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This role is classified as ML Engineering.
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$200k - $281k is the middle 50% of disclosed salaries, measured from 245 live ML Engineering postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.
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