XA
xAISr. Model Engineer, Mid-training
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Before you apply
Salary$180k – $440k
LocationPalo Alto, CA, Palo Alto, CA
Typefull-time
SenioritySenior
DepartmentModel
EquityIncluded
Company size1,001–5,000 people
PostedNov 2, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
Experience training large models (e.g., pre-training, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)
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 large-scale data processing frameworks
Experience with ML and large model scaling
Experience with Spark, Ray, and other large-scale data processing frameworks
Skills
Python
PyTorch
JAX
Rust
C++
Spark
Ray
Benefits
Equity
Health insurance
Vision insurance
Dental insurance
401(k)
Disability insurance
Life insurance
About the company
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.
RESPONSIBILITIES:
•
Scale synthetic coding data to trillions of tokens with large-scale docker verification
•
Distill the intelligence of flagship models into flash models through synthetic data generation
•
Optimize mid-training data mixtures to boost the ceiling for RL
•
Engineer long-context data recipes
•
Develop robust and diverse evaluation for mid-training checkpoints
BASIC QUALIFICATIONS:
•
Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
•
Experience training large models (e.g., pre-training, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)
PREFERRED SKILLS AND EXPERIENCE:
•
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 large-scale data processing frameworks
•
Experience with ML and large model scaling
•
Experience with Spark, Ray, and other large-scale data processing frameworks
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.
Legal
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.