AI-Powered Full-Stack Engineer for ML Tools

PVH (Tommy Hilfiger/Calvin Klein); Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple's Human Research and Engineering Solutions AI/ML team seeks a seasoned Full Stack Engineer to design and build web applications that empower hardware engineers. You’ll craft refined React interfaces and robust backend data flows, weaving AI capabilities into essential tools used daily by engineers.

You will own features from concept through production, focusing on scalable architectures, high reliability, and excellent user experience, collaborating across teams and mentoring others.

Qualifications

• Bachelor's degree in Computer Science or a related field or equivalent practical experience.
• 4+ years delivering production software across the full development lifecycle.
• Strong understanding of systems architecture and data/services integration.
• Experience integrating AI/ML capabilities into production applications.

Responsibilities

• Partner with Hardware Engineering teams to translate complex needs into software solutions.
• Own features from problem definition through deployment and continuous improvement.
• Design and build production-quality full stack applications (UI, backend, APIs, data models).
• Develop AI-powered capabilities that connect with engineering data and tools.
• Shape architecture with a focus on scalability, reliability, security, and UX.
• Collaborate across teams and contribute reusable patterns and tools.

Skills

Full stack development

ReactJS

Backend services

AI/ML integration

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

RabbitMQ

Kafka

Job description

Apple's Human Research and Engineering Solutions AI/ML team seeks a seasoned Full Stack Engineer to design and build web applications that empower hardware engineers. You’ll craft refined React interfaces and robust backend data flows, weaving AI capabilities into essential tools used daily by engineers.

You will own features from concept through production, focusing on scalable architectures, high reliability, and excellent user experience, collaborating across teams and mentoring others.