Software Engineer, PAR Regulatory Readiness

What you'll do

• Design and improve AI platforms for model training, inference, and large-scale deployment.
• Set technical strategy and drive cross-functional AI initiatives, reliability standards, and performance improvements.
• Collaborate with research, legal, policy, and compliance teams to productionize AI advances and support privacy, security, and integrity standards.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 3+ years of software engineering experience focused on AI, machine learning systems, or large-scale distributed systems supporting model training and inference.
• Experience architecting and owning production AI or machine learning platforms at scale.
• Experience setting technical strategy and driving execution across teams; diagnosing systemic AI pipeline issues; and establishing engineering standards and verification practices.

Nice to have

• Track record of publishing or productionizing novel approaches in machine learning, ML systems, or AI safety and reliability at scale.
• Experience with foundation model training infrastructure, inference optimization, or technical safeguards for responsible AI deployment.

Pay

$219,000/year to $301,000/year (base salary)

Tools

AI, machine learning, distributed training frameworks, mixed-precision optimization, model parallelism, quantization, distillation, speculative decoding

AI focus

Build and scale AI infrastructure, foundation-model capabilities, and production systems; address reliability and performance; and prepare for AI regulation and responsible deployment.