Mid-Training ML Engineer: Scale & Refine Large Models

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

Benefits offered by this job

Equity

Medical insurance

Vision coverage

Dental coverage

401(k) plan

Disability insurance

Life insurance

Employee discounts

Job summary

SpaceXSI is building Super Intelligence to help humanity understand the universe. Scale synthetic data to trillions of tokens and distill flagship models into flash models through synthetic data generation.

You will optimize data mixtures for RL and develop robust evaluation for mid-training checkpoints while collaborating across ML infra teams in a fast-moving space. SpaceXSI offers strong rewards and growth opportunities in Palo Alto.

Qualifications

• Production-quality coding experience in Python, PyTorch, JAX, Rust or C++.
• Experience with 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.
• Develop robust and diverse evaluation for mid-training checkpoints.

Skills

Python

PyTorch

JAX

Rust

C++

Tools

Spark

Ray

Job description

SpaceXSI is building Super Intelligence to help humanity understand the universe. Scale synthetic data to trillions of tokens and distill flagship models into flash models through synthetic data generation.

You will optimize data mixtures for RL and develop robust evaluation for mid-training checkpoints while collaborating across ML infra teams in a fast-moving space. SpaceXSI offers strong rewards and growth opportunities in Palo Alto.