ML Infrastructure Software Engineer

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help build AI-driven solutions that solve pressing business challenges. You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. We are looking for an individual who is passionate about joining Apple’s engineering team as an ML Infrastructure Software Engineer to enable the deployment and integration of AI models supporting our domains.
In this highly visible role, your primary responsibilities will include: - Deploying, optimizing, and integrating industry-standard AI models within internal infrastructure to support silicon design workflows. - Collaborating with internal teams to evaluate model needs, define selection and benchmarking standards, and ensure our infrastructure remains state-of-the-art by tracking industry advancements. - Managing pipelines for fine-tuning and model conversion, and implementing monitoring to ensure scalable and efficient model deployment. - Contributing to compute planning and hardware decisions, including evaluating third-party silicon and supporting adoption of internal chip solutions.
  • Experience in Python.
  • Experience with at least one of the following model deployment frameworks: VLLM, Triton, or TensorRT-LLM.
  • Experience scaling and optimizing machine learning models in production environments.
  • Minimum requirement of BS and 10+ years of relevant industry experience.
  • Understanding of model optimization techniques (e.g., quantization, pruning, or format conversions)
  • Familiarity with containerization and orchestration tools such as Docker or Kubernetes
  • Proven track record of leading complex ML infrastructure projects or cross-functional initiatives from concept to production
  • Ability to evaluate model choices based on hardware efficiency and constraints
  • Exposure to performance monitoring and observability systems for ML workloads
  • Designed and optimized RESTful services
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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