Apple · 5 months ago
Sr. ML Infrastructure Engineer, Siri User Experience Metrics and Data
Cupertino, California, United States
Full-time
Onsite
Senior Level
$181K/yr - $318K/yr
7+ years expApple is seeking a Senior ML Infrastructure Engineer to design, build, and scale the foundational systems that power the machine learning lifecycle within the Siri User Experience Metrics team. This role involves developing robust ML pipelines and services, with significant influence on the architecture and scalability of the end-to-end machine learning infrastructure.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Designing and maintaining high-throughput, low-latency pipelines for real-time and batch inference
Automating the model training and evaluation workflows with reproducibility and traceability in mind
Defining infrastructure standards and best practices for ML experimentation, CI/CD, and observability
Collaborating with ML researchers and engineers to improve productivity through tooling and platform enhancements
Qualification
Required
7 years of development experience and Bachelors or Masters degree in Computer Science or 5 years development experience and PhD in Computer science or related field, with at least 3 years focused on large-scale machine learning infrastructure
Proficient in Python with solid knowledge of software design principles
Expertise in designing and implementing distributed systems or data pipelines (e.g., Spark, Flink, Kafka, Airflow) and knowledge of SQL to analyze data and derive insights
Experience with ML lifecycle tools (e.g., MLflow, Metaflow, Kubeflow, SageMaker, Vertex AI)
Hands-on experience with container orchestration and cloud-native services (e.g., Kubernetes, Docker, AWS/GCP/Azure)
Leadership experience, including being a technical lead for complex, cross functional development projects demonstrating good technical judgement and prioritization skills
Strong communication skills and a proactive, ownership-driven mindset
Preferred
Prior experience architecting ML platforms or Feature Stores in a fast-paced production environment
Experience with real-time model serving and streaming pipelines (e.g., Kafka, Flink, Ray Serve, Triton)
Experience optimizing GPU and CPU resource allocation for training and inference workloads
Experience with any ML authoring framework (PyTorch, TensorFlow, JAX, etc.), particularly on-device ML frameworks such as CoreML, TFLite or ExecuTorch
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
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2025-12-01
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2025-09-25
Company data provided by crunchbase