AI Engineer & Researcher - Product Safety

Qualifications

• Experienced with safety and moderation AI models

• Experienced with large-scale machine learning systems and multimodal AI development

• Adept at designing experiments and analyzing results to refine models iteratively

• Hands-on experience with distributed training

• 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

Benefits

• Meet and greet with the wider team

• Annual Salary Range

• $180,000 - $440,000 USD

Responsibilities

• Spearhead research to advance multimodal AI capabilities with a focus on safety

• Innovate algorithms to optimize neural network performance while embedding robust safety measures

• Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes

• Partner with experts to integrate safety-focused AI features into high-impact, user-centric products

• Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness

Full Description

About the Role

At xAI, we're shaping the future of AI by ensuring our products are safe, dependable, and exceptional for users globally.

As an AI Engineer & Researcher on our Product Safety team, you'll pioneer research and develop advanced AI solutions to uphold trust and integrity at scale.

This role is your chance to push the boundaries of AI safety through innovative multimodal research and state-of-the-art modeling.

What You'll Do

• Spearhead research to advance multimodal AI capabilities with a focus on safety.

• Innovate algorithms to optimize neural network performance while embedding robust safety measures.

• Establish evaluation frameworks and benchmarks to assess and improve AI safety outcomes.

• Partner with experts to integrate safety-focused AI features into high-impact, user-centric products.

• Tackle complex challenges to proactively mitigate risks and maintain AI trustworthiness.

Who You Are

• Experienced with safety and moderation AI models.

• Experienced with large-scale machine learning systems and multimodal AI development.

• Adept at designing experiments and analyzing results to refine models iteratively.

• Hands-on experience with distributed training.

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.

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