Software Engineer - Brand Safety, Ads
Job Description
- Experience in building large scale and performant advertising systems.
- Experience with trust and safety teams or organizations focused on online safety.
- Architect and build scalable systems to detect, moderate, and mitigate brand unsafe and unsuitable content.
- Collaborate with client partnership, policy, and ops teams to translate brand safety policies into technical requirements and automated solutions.
- Leverage machine learning models, AI infra, and Grok LLM to enhance content detection accuracy and efficiency.
- Lead rapid response efforts for brand safety incidents, ensuring swift resolution and post-incident analysis.
- 2+ years of industry experience working with large-scale, high-throughput distributed systems.
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks
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
We’re looking for an exceptional engineer to join our Ads Brand Safety engineering team, re-envisioning and re-building Brand Safety systems from first principles using xAI’s cutting-edge AI and infra. Brand Safety plays a critical role in the overall success of advertising.
What You’ll Do
- System Design & Development: Architect and build scalable systems to detect, moderate, and mitigate brand unsafe and unsuitable content from first principles using cutting-edge models and infra from xAI.
- Policy Enforcement: Collaborate with client partnership, policy, and ops teams to translate brand safety policies into technical requirements and automated solutions.
- Machine Learning & AI: Leverage machine learning models, AI infra, and Grok LLM to enhance content detection accuracy and efficiency.
- Incident Response: Lead rapid response efforts for brand safety incidents, ensuring swift resolution and post-incident analysis to prevent recurrence and maintain advertiser trust.
Who You Are
- 2+ years of industry experience working with large-scale, high-throughput distributed systems.
- Experience in building large scale and performant advertising systems is plus.
- Experience with trust and safety teams or organizations focused on online safety is nice to have.
Tech Stack
- Golang, Python, Rust, gRPC, Scala
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:
1. Coding assessment in a language of your choice.
2. Systems hands-on: Demonstrate practical skills in a live problem-solving session.
3. Meet and greet with the wider team.
Our goal is to finish the main process within one week. All interviews will be conducted in person when applicable.
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.
