Apple · Seattle

On-device ML Infrastructure Engineer (ML Performance Visualization)

(w/m/d) · 29.5.2025

Description

We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple’s vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis. This role provides a great opportunity to help scale and extend a significant on-device ML benchmarking service used across Apple, in support of a range of devices from small wearables up to the largest Apple Silicon Macs. The role contributes to building the first end-to-end developer experience for ML development that, by taking advantage of Apple’s vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis. The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML frontier! Possible example areas include model visualization, efficient inference algorithms, model compression, and/or ML compilers/run-time. Key responsibilities: * Drive UI/front-end experiences for a ML benchmarking service in a fast-paced environment * Explore intelligent visualization and insights of on-device ML models * Play a key role in maintaining the health and performance of the ML benchmarking service, including debugging failures and addressing user questions / requests. * Collaborate extensively with ML and hardware teams across Apple.

Qualifications

  • Experience with full-stack web development (e.g. Django) and front-end JavaScript frameworks (e.g. Vue or other comparable frameworks such as React or Angular).
  • Strong programming and software design skills in Python.
  • Knowledge of ML fundamentals including training regimes, evaluation and deployment/inference.
  • A passion/interest for ML, particularly applied to on-device use cases.
  • Excellent collaboration and communication skills.

Preferred Qualifications

  • Masters or PhDs in Computer Science or relevant disciplines.
  • Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.) is a strong plus, particularly on-device ML frameworks such as CoreML, TFLite or ExecuTorch.
  • Back-end system skills including containers (docker), cloud orchestration (Kubernetes), database (SQL, Postgres)
  • Experience with standard ML architectures such as Transformers, CNNs or Stable Diffusion a strong plus.

Benefits

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 $135,400 and $250,600, 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.

Application

View listing at origin and apply!
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