Senior Machine Learning Engineer - ML Platform

About the Role

At Apple, the Apple Ads Machine Learning Platform team's mission is to empower Ads teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Ads teams to improve and scale our ML features, models, and applications.

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems.

Responsibilities

• Build high-performing, elegant systems from the ground up, in close partnerships with various teams
• Select technologies and build the right solutions for the unique ad network challenges we face
• Play a meaningful role building machine learning products which deliver on Apple's privacy commitments
• Contribute to a culture that emphasizes reliability, simplicity, and scalability
• Work with a team of world-class machine learning engineers applying leading-edge technologies to deliver extraordinary experiences to our customers

Minimum Qualifications

• Experience writing mission-critical code for production machine learning systems
• Experience building ML infrastructure, frameworks or services used by multiple teams
• Experience building SDKs, API, and automation UIs used by development teams
• Proven experience building automation and CI/CD
• Passionate about improving the developer experience for AI/ML practitioners
• Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
• Solid understanding of model evaluation, train-serve skew and data drift
• Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
• Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
• Strong problem solving, debugging and performance tuning skills
• Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
• Product-minded with a proven ability to seek projects with a sense of ownership

Preferred Qualifications

• Experience in advertising industry
• Experience with distributed training and/or optimizing large-scale models for low-latency serving
• Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning
• Experience building and/or operationalizing foundation models
• Experience with agentic AI
• Prior experience in privacy-preserving ML
• PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience