Member of Technical Staff, Midtraining at XAI LONDON LTD

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

440000.0

Posted On

01 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JAX, XLA, Spark, Ray, ML, Large Model Scaling, Synthetic Data Generation, Data Processing, Evaluation, Mid-Training Data, Multimodal Data, Experiment Design, AI Training Data, Long-Context Data

Industry

technology;Information and Internet

Description

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 engineers 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 Design synthetic data algorithms that push the frontiers of model intelligence. 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. California Consumer Privacy Act (CCPA) Notice

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Responsibilities

The role involves designing synthetic data algorithms to enhance model intelligence and optimizing mid-training data mixtures. Additionally, the engineer will develop robust evaluations for mid-training checkpoints.