ML Engineer: Large-Scale Data & Model Training

Maven Ventures; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical, Vision, Dental coverage

401(k) retirement plan

Disability Insurance

Job summary

SpaceXSI is building the Super Intelligence stack and seeks a senior ML/data systems engineer to scale models and data pipelines. You will generate synthetic data, run mid-training experiments, and optimize data mixtures to advance RL capabilities.

Based in California, SpaceXSI offers a competitive USD salary with equity and a comprehensive benefits package including medical, vision, dental, and a 401(k).

Qualifications

• Experience with ML and large model scaling.
• Experience with Spark, Ray, and other large-scale data processing frameworks.

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

Skills

ML scaling

Large-scale ML experiments

Scaling laws

Training data curation (multimodal)

Large-scale data processing

Tools

Spark

Ray

Job description

SpaceXSI is building the Super Intelligence stack and seeks a senior ML/data systems engineer to scale models and data pipelines. You will generate synthetic data, run mid-training experiments, and optimize data mixtures to advance RL capabilities.

Based in California, SpaceXSI offers a competitive USD salary with equity and a comprehensive benefits package including medical, vision, dental, and a 401(k).