Machine Learning Engineer, Safety

About the Role

We are seeking a passionate and innovative Machine Learning Engineer to join xAI’s Applied Safety team, where you will drive the development of cutting‑edge ML solutions to ensure compliance with X’s Terms of Service and enhance user safety. In this role, you will own the full machine learning lifecycle, building and deploying models to detect and mitigate threats like abuse, spam, and fraud, while fostering a secure and trusted global digital public square. Ideal candidates are creative problem‑solvers who thrive in 0‑to‑1 environments, prioritize impactful code over documentation, and are excited to apply advanced ML techniques to high‑stakes safety challenges.

Responsibilities

• Own the end‑to‑end machine learning lifecycle for safety systems, including data gathering, cleaning, model training, evaluation, and serving at scale.
• Develop and deploy ML models to detect and remediate violative content in areas such as abuse, spam, and child safety.
• Integrate models into production systems for real‑time inference and high‑throughput processing to support platform integrity.
• Apply creative problem‑solving to design novel ML solutions for uncharted safety challenges.
• Collaborate with engineering, product, and operations teams to enhance xAI’s safety ecosystem.
• Lead technical initiatives in ML‑driven areas like fraud detection or content moderation.
• This is an in‑person role based in Manila, Philippines, requiring up to 25% travel.

Required Qualifications

Preferred Qualifications

Annual Salary Range

$200,000 - $350,000 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.

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