Category: Machine Learning | Generative AI | Deep Learning Infrastructure
Employment Type: Full-Time
Location: Cupertino, California, United States (2 Work Locations Available)
Posted: June 5, 2026
Role Number: 200651112-0836
Applications: Accepted on an ongoing basis
About the Role
Apple’s Intelligence System Experience (ISE) team is hiring a Senior Machine Learning Engineer to help build the next generation of large-scale deep learning infrastructure powering Apple Intelligence. This is a rare opportunity to work at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalised Intelligent Experiences — all within one of the world’s most impactful technology companies.
Your work will be deployed across high-impact Apple Intelligence products spanning both on-device and server environments, and you will have genuine opportunities to open-source your contributions to the global ML community. If you are a PyTorch-focused ML systems expert who thrives on pushing the boundaries of training and inference performance, this role was built for you.
What You Will Be Doing
As a Senior ML Engineer on the ISE team, you will operate at the systems level — designing, building, and optimising the core platform that makes Apple’s AI-driven experiences possible at scale.
Core ML Platform Development You will develop foundational components for Apple’s centralised, scalable ML platform — building the infrastructure that powers training and inference for Apple Intelligence products across teams.
Training & Inference Acceleration You will push the limits of existing training technologies, create novel techniques to overcome system constraints, and drive improvements in both training speed and inference performance.
Software–Hardware Co-Design Leveraging a deep understanding of hardware-software co-design principles, you will optimise ML workloads to extract maximum efficiency from both on-device silicon and large-scale server infrastructure.
PyTorch Systems Engineering You will work deeply within the PyTorch software stack — maintaining and advancing state-of-the-art ML frameworks, contributing to system-level optimisations, and driving efficiency improvements from small on-device models all the way to massive foundation models.
Open Source Contribution You will be actively encouraged to open-source your contributions — giving back to the broader ML research and engineering community while strengthening Apple’s presence in the ecosystem.
Cross-Team Collaboration You will partner closely with teams across Apple who are building Apple Intelligence products, ensuring the ML platform you develop translates directly into world-class user experiences.
Minimum Qualifications
- Education: PhD or Master’s degree in Computer Science, or equivalent industry experience, with 3+ years of hands-on experience in the AI/ML field
- Strong Python programming skills
- Solid understanding of software–hardware co-design principles and algorithms
- Deep working knowledge of the PyTorch software stack, with experience maintaining production-grade ML frameworks
- Strong understanding of LLM architectures and their core building blocks
Preferred Qualifications
Candidates with the following will be strongly competitive:
- Experience working on AI/ML-optimised runtime stacks
- Familiarity with parallelisation algorithms for large model training
- Up-to-date knowledge of recent developments in foundation model architectures
- Experience with parallel training libraries such as PyTorch Distributed (torch.distributed), DeepSpeed, or FairScale
- Experience building ML models optimised for on-device inference
- Publication record at top-tier ML conferences such as MLSys, NeurIPS, ICML, or similar
Compensation & Benefits
- Base Salary Range: $181,100 – $318,400 USD (dependent on skills, qualifications, experience, and location)
- Eligibility for discretionary restricted stock unit (RSU) awards
- Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan (ESPP)
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounts on Apple products and access to free Apple services
- Education reimbursement for formal learning related to career advancement at Apple, including tuition support
- Potential eligibility for discretionary bonuses, commission payments, and relocation assistance
Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and the terms of the applicable plan or program.
About Apple
The ISE team is a multidisciplinary group of highly skilled, impact-focused engineers operating at the frontier of AI. Apple offers a respectful work environment, flexible responsibilities, access to world-class technical experts, and meaningful growth opportunities. Apple is an equal opportunity employer committed to inclusion and diversity, and does not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other legally protected characteristic. Apple believes accessibility is a fundamental human right — reflected across its culture, benefits, and tools.