Member of Technical Staff, Mid-training
Develops multimodal mid-training data pipelines for omni models handling text, image, video, and audio. Requires ML expertise, scaling laws knowledge, experiment design, and strong engineering in large-scale data frameworks like Spark and Ray.
About the job
Tech Stack
- Python
- JAX and XLA
- Spark
- Ray
Focus
- 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.
Ideal Experience
- 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.
Annual Salary Range
$180,000 - $440,000 USD
Benefits
Base salary is just one part of our total rewards package at xAI, 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.
Skills
Python, JAX, Xla, Spark, Ray, Machine Learning, LLMs, Scaling Laws, Data Processing, Synthetic Data
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