AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - ML Compute

Apple's ML Platform & Technology team is seeking a Staff ML Infrastructure Engineer to join their ML Compute division. This role is crucial in building and maintaining compute infrastructure for ML workloads at Apple, including training, inferencing, and fine-tuning. The position offers an exciting opportunity to tackle complex technical challenges at scale, making ML workloads more stable, reliable, efficient, and cost-effective.

The role combines deep technical expertise with collaborative leadership, requiring both strong engineering skills and the ability to work across teams. You'll be working with cutting-edge ML infrastructure, using technologies like Kubernetes, Python, and Go to build scalable solutions. The position offers competitive compensation ranging from $175,800 to $312,200, along with comprehensive benefits including stock options and educational support.

As a Staff Engineer, you'll be instrumental in architecting and delivering innovative solutions while mentoring team members and driving technical excellence. The role requires 7+ years of experience in building scalable backend systems for ML/DL models, making it perfect for someone who's passionate about machine learning infrastructure and wants to make an impact at Apple's scale.

Apple's commitment to diversity and innovation makes this an ideal opportunity for those looking to work on challenging problems while contributing to products that impact millions of users. The hybrid work environment in Santa Clara offers flexibility while maintaining collaborative opportunities with world-class teams.