AI Engineer & Researcher - Product Safety
San Francisco & Palo Alto, CA
Full Time Mid-level / Intermediate USD 180K - 440K
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 and researchers 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 & 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
xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For Los Angeles County (unincorporated) Candidates:
xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment:
- Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;
- Interacting with internal and/or external clients and colleagues; and
- Exercising sound judgment.
Tags: Engineering JAX Machine Learning Privacy Python Research Rust
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.