Not specified (assumed hybrid or onsite based on company culture).
End-to-end machine learning workflow expertise
Large scale distributed systems experience
Generative techniques like transformers and diffusion
Apple is seeking a Staff Machine Learning Engineer to join their team focused on ML infrastructure and generative AI. The role involves developing robust systems that enhance machine learning workflows, from data preparation to deployment, within a collaborative and innovative environment
Job Summary
Join a team at the forefront of ML infrastructure and generative AI to enable next-generation intelligent experiences on Apple products.
You will build robust systems connecting scalable data pipelines with advanced ML workflows to accelerate real-world AI applications.
The role offers autonomy to experiment with generative models while working alongside a world-class team to ship high-quality AI solutions.
Matching Summary
Match Score: 85
Apple is seeking a Staff Machine Learning Engineer to join their team focused on ML infrastructure and generative AI. The role involves developing robust systems that enhance machine learning workflows, from data preparation to deployment, within a collaborative and innovative environment.
Skills & Requirements
Must-have
End-to-end machine learning workflow expertise
Large scale distributed systems experience
Generative techniques like transformers and diffusion
Production environment data and ML infrastructure
Java, Python, or Go programming proficiency
Nice-to-have
PyTorch, JAX, or TensorFlow framework proficiency
Columnar and lakehouse format knowledge
Performance engineering for I/O-bound workloads
Data lineage and governance system experience
Spark, Daft, Polars, or DuckDB internals
Key Requirements
B.S., M.S., or Ph.D. in Computer Science or equivalent
Strong foundation in end-to-end ML lifecycle
Experience designing highly available scalable systems