Software Engineer, PAR Regulatory Readiness

Highlights

• Architect large-scale AI infrastructure powering products used by billions daily.
• Define technical direction for AI systems preparing for upcoming AI regulations.
• Translate cutting-edge AI research into reliable high-impact production systems.

What they offer

• bonus
• equity
• benefits

Ideal candidate

Systems-minded AI engineer who thrives on hardest infrastructure challenges and turning research into reliable products at scale. You set technical direction, raise quality bars, and partner across research, product, and policy.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 3+ years of software engineering experience with a focus on AI, machine learning systems, or large-scale distributed systems that support model training and inference
• Experience architecting and owning production AI or machine learning platforms at scale, including end-to-end responsibility for reliability, performance, and evolution of those systems
• Experience defining technical strategy and driving execution across multiple engineering teams, including influencing roadmap priorities and gaining cross-functional alignment
• Experience identifying and resolving systemic issues in AI pipelines, including debugging complex failures that span model behavior, data quality, and infrastructure layers
• Experience establishing engineering standards, architectural patterns, and verification practices that improve the quality and velocity of AI development across an organization