ML Platform Engineer

Were starting to see the incredible potential of multimodal foundation and large language models and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple VCV org has pioneered human-centric real-time features such as FaceID FaceKit and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality pioneering experiences innovating through the full stack and partnering with HW SW and AI teams to shape Apples products and bring our vision to us to build the infrastructure MLOps platforms and deployment systems that power Apples next generation of intelligent products and experiences.

As part of the VCV team you will build and maintain the critical infrastructure that enables machine learning at scale across Apples products. You will work on infrastructure MLOps cloud and on-device deployment systems and data engineering platforms that support our ML development will be responsible for building and maintaining scalable machine learning infrastructure for training evaluation and deployment of computer vision and multimodal models. You will develop MLOps platforms and tools that streamline the ML development lifecycle from data ingestion to model deployment create robust data pipelines for large-scale data collection curation preprocessing and management and implement on-device ML integration systems that deploy state-of-the-art algorithms to Apple closely with ML algorithms engineers data scientists and quality assurance teams youll help deploy state-of-the-art computer vision technologies on Apple devices balancing performance with the compute and power constraints of on-device inference.

Bachelors degree in Computer Science Software Engineering or related technical field or equivalent practical experiencen2 years of relevant industry experience in software engineering machine learning infrastructure or related fieldsnStrong programming skills in Python C and/or SwiftnExperience with machine learning frameworks such as PyTorch TensorFlow or JAXnKnowledge of machine learning model development lifecycle including data preprocessing model training evaluation and deploymentnExperience with distributed systems cloud computing or large-scale data processingnStrong foundational knowledge in Computer Science and software engineering principles

Masters degree in Computer Science Machine Learning or related technical fieldn2 years of experience in ML infrastructure platform engineering or production ML systemsnExperience with Apples frameworks including CoreFoundation RealityKit and CoreMLnHands-on experience with CI/CD pipelines DevOps practices and infrastructure as codenExperience with containerization technologies (Docker Kubernetes) and orchestration systemsnKnowledge of cloud platforms (AWS GCP Azure) and distributed computing frameworks (Spark Ray etc.)nExperience with GPU programming and hardware acceleration (Metal CUDA OpenCL)