Finding the best job has never been easier
Apple On-device ML Engineering Manager Authoring & Conversion Tools United States, West Virginia 111177456
05.09.2025
Share
As the manager in this role, you will support a dynamic team of engineers, with skills that range from machine learning and frameworks like PyTorch and MLX, to deep compiler expertise in MLIR and LLVM. You will partner with other leaders across the organization and company to both develop our platform as well as support clients internally and externally. The role requires a deep technical understanding of ML research→production workflows, ML compilations, runtimes, and on-device optimization techniques (such as quantization, distillation, etc.).
- Lead the team building the authoring/conversion technologies to quickly onboard new ML models to our ML platform, including contributions to internal and external ML authoring frameworks, like MLX and PyTorch.
- Attracting, hiring, and guiding the career of ML and software engineers.
- Partnering with multi-functional partners to push the state-of-the-art of on-device ML functionality and performance.
- Planning and implementing multi-year roadmaps for both internal architectures and public facing functionality.
- Engaging with and supporting 1st and 3rd party developers ML powered use cases.
- Understand different ML operations, architectures, and graph representations in different authoring frameworks and stay on top of the latest innovations in this space.
- BS/MS/PhD in Computer Science or Electrical Engineering.
- Two or more years of strong and validated management experience.
- Knowledge of ML development and workflows, including at least one authoring framework experience (e.g., PyTorch).
- Excellent social skills.
- Track record of creating clean software architectures, intuitive designs, and high-performance extensible software.
- Solid programming skills in Python, C++ or Swift.
- Familiarity with Apple framework and API design patterns
- Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch)
- Experience with MLIR / LLVM compiler technologies
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
