Mid-training

Maven Ventures; Palo Alto (CA); Sur place; USD 180 000 - 440 000; Plein temps

Avantages offerts par ce poste

Equity

Comprehensive medical coverage

Vision coverage

Dental coverage

401(k) retirement plan

Short & long-term disability insurance

Life insurance

Discounts & perks

Résumé du poste

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack, including Grok models and related applications.

We are seeking researchers who can scale data to trillions of tokens and distill model intelligence into efficient mid-training processes. You will design ML experiments, curate data for text, image, audio, and video, and leverage Spark and Ray for large-scale processing.

Qualifications

• Expertise in ML and large model scaling.
• Strong ability to design ML experiments.
• Familiarity with state-of-the-art techniques for curating AI training data for multiple modalities.
• Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing.

Responsabilités

• 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.

Connaissances

ML scaling

Experiment design

Data curation

Spark

Ray

Outils

Spark

Ray

Description du poste

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:

• 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.

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 our Recruitment Privacy Notice.