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Apple On-device ML Infrastructure Engineer Insights Forecasting United States, Washington, Seattle 625737501
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Our group is seeking an ML Infrastructure Engineer, with a focus on ML Insights and Forecasting. The role entails exploring new trends in ML architectures, getting them running with our on device stack, and building infra to enable regular coverage of these models.
Key Responsibilities:- Explore the latest ML model architectures and prototype getting these running on device.- Build infrastructure to enable at scale testing of new ML features.- Analyze telemetry data to understand how users are using ML on device.
- Bachelors in Computer Science or relevant subject areas.
- Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.), particularly on-device ML frameworks such as CoreML, TFLite or ExecuTorch.
- Strong programming and software design skills in Python.
- In depth knowledge of quality practices and fundamentals, including test planning, automation, and performance evaluation.
- Solid ML fundamentals including training regimes, evaluation and deployment/inference.
- Excellent collaboration and communication skills.
- Masters or PhDs in Computer Science or relevant disciplines.
- Experience in system performance analysis and optimizing ML models for edge inference
- Experience with standard ML concepts such as Transformers, CNNs or Stable Diffusion a strong plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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