Skills

Python Rust Problem-solving Data collection Training Synthetic Data Machine Learning

Job Specifications

About the Role

As an engineer specializing in Multi-modal Post-Training, you’ll design and deploy state-of-the-art systems and algorithms to enhance multi-modality model capabilities. You’ll pioneer innovative techniques to elevate AI capabilities, delivering seamless, delightful, and empowering experiences for users. This is your chance to push the boundaries of AI technology and directly influence the evolution of a transformative product.

What You’ll Do

Develop scalable human and synthetic data collection systems for media data (images, video, audio).
Build infrastructure for large-scale image, video and audio data pipelines, curation, and annotation.
Optimize inference and distillation for real-time generation.
Collaborate with cross-functional teams to integrate advanced AI solutions into production environments.
Create demos to explore the frontier of multimodal AI products and iterate quickly based on real-world feedback.
Own the end-to-end experience of created applications, working with teams to improve user experience.

Who You Are

Deep technical expertise with experience in multimodal post-training techniques.
Capable of applying the latest advancements to improve model performance
Demonstrated success in developing scalable machine learning systems to fuel product expansion.
Exceptional engineering skills, adaptable across various tech stacks.
Proficiency in creating multimodal applications (e.g., images, video, audio) is a plus.
Enthusiasm for crafting innovative consumer products using state-of-the-art technology.
Self-motivated and able to independently drive complex projects to completion.

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.

Tech Stack

Python
JAX
Rust

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.
Systems hands-on: Demonstrate practical skills in a live problem-solving session.
Project deep-dive: Present your past exceptional work to a small audience.
Meet and greet with the wider team.

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.