AI Safety Engineer

Posted 18 Days Ago
Be an Early Applicant
2 Locations
Mid level
Information Technology
The Role
The AI Safety Engineer will identify safety shortcomings in AI systems, adapt evaluations for risk assessment, implement ML safety methods, collaborate with teams to ensure safety measures are effective, and innovate to enhance AI's understanding of the universe.
Summary Generated by Built In

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. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title "Member of Technical Staff."

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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

Tech Stack

  • Python
  • JAX and XLA
  • Rust
  • CUDA (C++ and Triton)

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

  • Identifying safety shortcomings in Grok.
  • Adapting existing or designing new evaluations to automatically assess various potential risks.
  • Rapidly implementing the various methods from the ML safety literature to improve the safety of Grok.
  • Working with other teams to ensure safety measures are implemented in various parts of the development pipeline.
  • Innovating new ideas that bring us closer to our goal: Developing AI systems that can accurately understand the universe and create new knowledge.

Ideal Experiences

  • Has worked on one or more ML safety problems and demonstrated exceptional work.
  • Expert in ML and fine-tuning large language models.
  • Experience in developing and managing large-scale machine learning systems.
  • Keeping up with multiple ML safety domains.

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.
  • Post-training Technical Session: This session will be assessing your engineering skills to design and implement solutions to solve tooling problems in post-training.
  • Safety Technical Session: This session will be testing your ability to formulate, design and solve concrete problems in safety. It can be research or engineering, depending on background/experience. 
  • 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. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.

Annual Salary Range

$180,000 - $440,000 USD

California Consumer Privacy Act (CCPA) Notice

Top Skills

C++
Python
Rust
The Company
96 Employees
Remote Workplace

What We Do

Understand the Universe

Similar Jobs

NVIDIA Logo NVIDIA

AI Safety Machine Learning Engineer, LLM MLOps

Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Santa Clara, CA, USA
21960 Employees

Relativity Space Logo Relativity Space

Senior Tooling Mechanical Engineer

3D Printing • Aerospace • Hardware • Robotics • Software
Easy Apply
Hybrid
Long Beach, CA, USA
1200 Employees
130K-166K Annually

Snap Inc. Logo Snap Inc.

Software Engineer, iOS, 6+ Years of Experience

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
5 Locations
5000 Employees
172K-303K Annually

Snap Inc. Logo Snap Inc.

Software Engineer, ML Infrastructure, 2+ Years of Experience

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
5 Locations
5000 Employees
129K-228K Annually

Similar Companies Hiring

Jobba Trade Technologies, Inc. Thumbnail
Software • Professional Services • Productivity • Information Technology • Enterprise Web • Consulting • Cloud
Chicago, IL
45 Employees
InCommodities Thumbnail
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees
HERE Thumbnail
Software • Logistics • Internet of Things • Information Technology • Computer Vision • Automotive • Artificial Intelligence
Amsterdam, NL
6000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account