Senior ML Engineer – AI Safety

Experian; United States; Remote; USD 25,000 - 43,000; Full time

Job summary

Experian is seeking a Senior Machine Learning Engineer focused on AI Safety, based remotely in Brazil. The role participates in a large technology organization, contributing to high-impact safety-focused ML initiatives.

The position requires senior-level ML expertise, a process-oriented mindset, and strong cross-team communication to collaborate with distributed teams. This is a full-time, home-based opportunity within Brazil.

Qualifications

• Senior-level experience as a Machine Learning Engineer with demonstrated depth in AI Safety topics.
• Comfort working inside a structured, process-oriented engineering organization.
• Eligibility to work in Brazil on a regular full-time schedule.
• Strong communication skills for collaborating across distributed teams.

Responsibilities

• Contribute to senior-level machine learning engineering work with an emphasis on AI Safety themes, applied within a larger Technology organization.
• Collaborate with other engineers and adjacent teams to deliver model- and safety-related capabilities that fit the product context.
• Apply established engineering process and quality standards consistent with a large, multi-region technology employer.

Skills

AI Safety

Machine Learning

Cross-team Collaboration

Job description

Role overview

A full-time Senior Machine Learning Engineer role focused on AI Safety, based in São Carlos, São Paulo, Brazil, within a large technology and information services organization. The position sits inside a Technology department supporting data and information services products, and is classified as a regular ongoing engineering role rather than a contractor or temporary position.

Responsibilities

• Contribute to senior-level machine learning engineering work with an emphasis on AI Safety themes, applied within a larger Technology organization
• Collaborate with other engineers and adjacent teams to deliver model- and safety-related capabilities that fit the product context
• Apply established engineering process and quality standards consistent with a large, multi-region technology employer

Requirements

• Senior-level experience as a Machine Learning Engineer, with demonstrated depth in AI Safety topics
• Comfort working inside a structured, process-oriented engineering organization
• Eligibility to work in Brazil on a regular full-time schedule
• Strong communication skills for collaborating across distributed teams

Benefits and work setup

• Location: São Carlos, São Paulo, Brazil
• Schedule: Full time, regular (non-temporary) employment
• Work model: Home-based / remote
• Grade and cost-centre metadata indicate a senior individual-contributor level within the Technology career framework
• Note: the publicly available source listing for this role does not provide further detail on responsibilities, compensation, or specific tooling; candidates should confirm scope directly with the employer