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SpaceXAI

Member of Technical Staff - Mid-training

SpaceXAI · Palo Alto, CA

Posted about 3 months ago · $180,000 - $440,000

or apply directly on SpaceXAI's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
SpaceXAI's roles stay open a median of 82 days
Reposted
No
Salary listed
Yes
32% of SpaceXAI's roles list one
Ghost-job risk at SpaceXAI
high
257 stale, 5 reposted of 258 open
Hiring momentum
339 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from SpaceXAI's own greenhouse board since 2026-08-03. Full hiring picture for SpaceXAI.

About this role

The Member of Technical Staff will focus on scaling synthetic coding data and optimizing mid-training data mixtures for machine learning models. Responsibilities include engineering long-context data recipes, developing evaluations for mid-training checkpoints, and utilizing large-scale data processing frameworks. The role involves working with cutting-edge technologies in the Super Intelligence stack to enhance AI capabilities.

Our read on this posting3.8out of 5
benefits
4/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SpaceXAI as an employer.

What you need

  • Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws.
  • Strong ability to design ML experiments.
  • Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities.
  • Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing.

What you get

  • $180,000 - $440,000 USD
  • Equity
  • Comprehensive medical, vision, and dental coverage
  • Access to a 401(k) retirement plan
  • Short & long-term disability insurance
  • Life insurance

Worth weighing

  • The role involves working with large-scale docker verification, which may require familiarity with containerization technologies.
  • The compensation range is quite broad, which may indicate variability in role expectations or experience levels sought.
  • Focus on mid-training processes may limit exposure to other areas of AI development.

Summarised from SpaceXAI's posting. Read the full original.

Listed by SpaceXAI on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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