המקום בו המומחים והחברות הטובות ביותר נפגשים
Apple On-device ML Infrastructure Engineer User Experience APIs & Integration United States, California, Cupertino 412764934
Today
Our group is looking for an ML Infrastructure Engineer, with a focus on ML user experience APIs and Integration. The role is responsible for developing new ML model conversion & authoring APIs that will be a part of coremltools (CoreML’s authoring/conversion toolkit). The role is also responsible for integrating the APIs into internal and external systems (e.g., HuggingFace) to demonstrate the most efficient way of ingesting models into CoreML from these systems. This integration could involve a gamut of optimizations ranging from authored program optimizations (e.g., in PyTorch), to custom optimizations on CoreML’s model representation.
As an engineer in this role, you will be primarily focused on developing and using APIs in coremltools to enable ML engineers to efficiently author/convert ML models to CoreML. You will be integrating coremltools into internal and external ML model repositories to evaluate and demonstrate how ML models can ingested into CoreML. You will ideate, design, and stress test the gamut of optimizations required to ingest these models, ranging from source level optimizations (e.g., in the PyTorch program), to custom optimizations after converting to CoreML’s model representation. The role requires a good understanding of ML modeling (architectures, training vs inference trade-offs, etc.), ML deployment optimizations (e.g., quantization), and a good understanding of designing Python APIs
- Bachelors in Computer Sciences, Engineering, or related discipline.
- Highly proficient in Python programming, familiarity with C++ is required.
- Proficiency in at least one ML authoring framework, such as PyTorch, TensorFlow, JAX, MLX.
- Strong understanding of ML fundamentals, including common architectures such as Transformers.
- Understanding of common ML inference optimizations, such as quantization, pruning, KV caching, etc.
- Experience with any on-device ML stack, such as TFLite, ONNX, etc.
- Experience with designing Python APIs and production deployment of python packages is a strong plus.
- Experience with HuggingFace or any other model repository is a strong plus.
- Experience with MLIR/LLVM or any compiler toolchains is a strong plus.
- Good communication skills, including ability to communicate with cross-functional audiences.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
משרות נוספות שיכולות לעניין אותך
