Model Optimization Engineer (Quality and ML DevOps)

We are passionate about productizing and pushing the envelope of the state of the art of model optimization algorithms, to further compress and speed up the thousands of models shipping as part of Apple internal and external apps, running locally on millions of Apple devices.

• Setting up, and/or streamlining CI and automation pipelines
• Making enhancements to the release process, automating nightly builds, and setting up scheduled CI runs for different levels of testing
• Making innovations in model testing and benchmarking
• Finding innovative ways to reduce test time while maintaining high quality test coverage
• Passionate about the user experience and ways to improve it
• Developing integration of the model optimization library with other training engines and data platforms at Apple
• Keeping the code base updated to work with the latest versions of Python, PyTorch, numpy etc.
• Set up and debug training jobs, datasets, evaluation, performance benchmarking pipelines
• Run detailed experiments and ablation studies to profile algorithms on various models, tasks, across different model sizes
• Improving model optimization documentation, writing tutorials and guides
• Self prioritize and adjust to changing priorities and asks

• Bachelors in Computer Sciences, Engineering, or related discipline
• 2 years of industry experience (including internships)
• Highly proficient in Python programming
• Expertise in shell programming, experience with setting up and/or maintaining CI pipelines for at least one production software codebase
• Good communication skills, including ability to communicate with cross-functional audiences

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary bonuses or commission payments
• Relocation assistance