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xAI

AI Engineer - Product Safety

Sorry, this job was removed at 09:21 a.m. (PST) on Wednesday, Aug 13, 2025
In-Office
2 Locations
In-Office
2 Locations

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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

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 on our Product Safety team, you’ll 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 developments and state-of-the-art modeling.

What You’ll Do

  • Spearhead multimodal AI capabilities and advancements 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 phone screening with a member of the team. If you clear that interview, you will enter the main process, which consists of four steps:

  1. A 45-minute coding interviews focusing on AI/ML-related questions in Python.
  2. A 45-minute coding interviews focusing on AI/ML-related questions in Python.
  3. A 45-minute AI/ML system design session.
  4. Meet & Greet with the wider team.

Our goal is to finish the main process within one week. There will be at least one in-person interview.

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.

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HQ

xAI Palo Alto, California, USA Office

1450 Page Mill Road, Palo Alto, CA, United States

xAI San Francisco, California, USA Office

3180 18th St., San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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