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Sr. Model Engineer, Model Training · SpaceXAI
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SpaceXAI
Palo Alto, CA; Austin, TX; New York, NY; Seattle, WA

Sr. Model Engineer, Model Training

Confirmed · 9h agoSeniorQuick applyVisa not specifiedPosted 13h ago
Last re-checked
9h ago · still live
Salary
180k–600k
Disclosed on the employer’s own listing.
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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.

BASIC QUALIFICATIONS:

  • Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
  • Experience training large models (e.g., pretraining, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)

PREFERRED SKILLS AND EXPERIENCE:

  • Experience training models used by millions of users
  • Power user of AI models
  • You believe truth-seeking AI is the most important and challenging problem
  • You take pride in your work and thrive in meritocratic environments
  • You are obsessed about building incredibly useful models

COMPENSATION AND BENEFITS:

$180,000 - $600,000 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 our Recruitment Privacy Notice.

Employer-sourced description · source: job-boards.greenhouse.io · captured 9h ago
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