2 months ago
Paris, FranceSenior
Responsibilities
- Lead complex, ambiguous machine learning projects end to end.
- Bring foundation-model architectures from research prototypes to planetary-scale production deployment.
- Own inference efficiency, hardware/software co-design, systems architecture, and tooling.
- Build and optimize inference systems on Apple’s CloudOS and Private Cloud Compute infrastructure.
- Partner with Foundation Model Research, external partners, platform teams, and security teams.
- Build and operate high-throughput services at large distributed scale.
- Help set technical direction for surrounding engineers.
Requirements
- Proficiency in PyTorch or JAX.
- Experience working with inference frameworks.
- Experience with Python, Rust, Go, or similar programming languages.
- Proficiency deploying applications on cloud platforms such as AWS or GCP using Kubernetes and Docker.
- Experience leading complex, ambiguous machine learning projects end to end.
- Hands-on experience with LLM inference stacks is preferred.
- Working knowledge of GPU or TPU programming concepts is preferred.
- Experience building production systems in Go or Python is preferred.
- Strong knowledge of deep learning architectures, including Transformers, encoder/decoder models, and multimodal variants, is preferred.
- Experience with TensorRT-LLM, vLLM, SGLang, TGI, or Nvidia Triton Server is preferred.
- An MS in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field is preferred.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.