Apple · 5 days ago
Sr. ML Engineer, Siri User Experience Metrics and Data
Cupertino, CA
Full-time
Onsite
Senior Level
$181K/yr - $318K/yr
5+ years expApple is seeking a Senior Machine Learning Engineer to help build tools that power high-impact decisions across Siri. The role involves designing scalable systems to transform data into insights, improving Siri's user experience through anomaly detection and collaboration with cross-functional teams.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design and implement scalable, reliable systems to transform raw data into actionable insights for leadership
Build a trustworthy and explainable anomaly detection system to automatically identify regressions in Siri performance and alert engineering teams with actionable insights for debugging performance issues
Drive the technical vision for Siri’s automated anomaly detection platform for detecting performance and reliability regressions
Define, develop and deliver key features for high quality alerting to enable teams to troubleshoot regressions rapidly
Communicate progress on key deliverables across the organization from peer groups to senior leadership
Own the technical roadmap, onboard and mentor team members, and lead the team to deliver high-impact outcomes
Qualification
Required
Master's degree with 8+ years of industry experience in machine learning, or Ph.D. with 5+ years, applying ML to real-world business problems
Strong understanding of core ML concepts, with particular depth in unsupervised learning methods (clustering, dimensionality reduction, density estimation), and a solid foundation in feature engineering, model evaluation, regularization, and optimization
Advanced coding skills in Python (5+ years) with pandas, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow)
Hands-on experience data preprocessing, building and training ML models using distributed processing frameworks such as PySpark, Spark, or Flink
Experience applying large language models (LLMs) for downstream tasks (classification, labeling, enrichment), with the ability to perform fine-tuning or parameter-efficient adaptation (e.g., LoRA). Must be capable of deploying and optimizing models in on-premise, server, or on-device environments, rather than relying solely on hosted third-party APIs
Demonstrated ability to set technical vision, lead complex projects, and drive impact in cross-functional environments, with strong communication and problem-solving skills
Preferred
Proven expertise with anomaly detection and time series modeling (e.g., Isolation Forest, autoencoders, ARIMA, LSTM) and experience building production frameworks supporting multiple engineering and product teams
Experience with LLM workflows (domain adaptation, RAG) and deploying optimized ML/LLM models on mobile or server environments (e.g., Core ML, TensorFlow Lite, ONNX Runtime) for performance, cost, and privacy
Experience in developing ML infrastructure, and large-scale operations, including model serving, distributed training, CI/CD for ML pipelines, and platform monitoring across millions of devices or events
Familiarity with composite metrics and interpretability tools (e.g., SHAP, LIME), with a track record of publications, patents, or open-source contributions in ML/LLMs, anomaly detection, or time series modeling
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)
Distribution of Different Job Fields Receiving Sponsorship
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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
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase