Member of Technical Staff, Mid-training
at xAI
Posted 13 hours ago
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- Compensation
- $180,000 – $440,000 USD
- City
- San Francisco, Palo Alto
- Country
- United States
Currency: $ (USD)
Join xAI’s mid-training team to build an omni-model that understands the universe across text, image, video, and audio. You will design and scale multimodal mid-training data pipelines, generate synthetic data, and optimize data mixtures to boost RL performance. The role emphasizes strong engineering in Spark, Ray, Python and related big-data tooling, with a focus on long-context data recipes and robust evaluation. This position is Bay Area-based (San Francisco or Palo Alto) with relocation possibilities.
About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role
The mid-training team at xAI aims to provide an omni model that can understand the universe through text, image, video and audio. To accomplish this, we are looking for expert engineers in multimodal mid-training data.
Tech Stack
- Python
- JAX and XLA
- Spark
- Ray
Location
The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.
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.
Interview Process
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
Coding assessment in a language of your choice.
Technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM.
Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
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.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
