Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Docker @ 3
Spark @ 6
Communication @ 6
Prioritization @ 6
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The team is small, highly motivated, and focused on engineering excellence. The organization values hands-on contributors, initiative, strong prioritization, and clear communication.
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.
Requirements
- 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 one part of the total rewards package, 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.