Sr. Machine Learning Engineering Manager – ML Data
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As an engineering manager you will lead the design and delivery of scalable data foundations that support AI/ML across Apple Ads. Your team will build and operate platform services that span the full ML data lifecyclefrom ingestion and transformation to training evaluation and production monitoringensuring systems are reliable privacy-preserving and built on high-quality role combines deep technical expertise in large-scale data architecture with the ability to develop a cohesive strategy for AI/ML infrastructure at enterprise scale. You will mentor and grow a team of ML and Data Engineers to deliver core data services tooling and frameworks that help Apple Ads teams develop train and deploy models effectively.
- 6 years leading engineering teams that build large-scale data infrastructure or ML platforms for enterprise environments.
- Proven experience designing multi-use platform services and influencing cross-team technical roadmaps.
- Strong hands-on expertise with Java Python or Scala and with data architecture modeling and SQL.
- Deep technical proficiency in data processing frameworks (Spark Flink) streaming systems (Kafka) data lakes/warehouses (Iceberg Delta Lake) databases (Cassandra Redis) and workflow orchestration tools.
- Experience in both batch and real-time data processing including CI/CD environments and cloud-native data systems.
- Demonstrated experience contributing to ML platforms supporting data pipelines model training serving and monitoring.
- Strong understanding of AI/ML data management including handling unstructured data dataset versioning and training data quality at scale.
- Hands-on experience building model monitoring and observability systems for drift detection model degradation and real-time prediction quality.
- Familiarity with annotation and labeling workflows as well as generative AI techniques such as transformer architectures diffusion models and multimodal learning.
- Proven ability to lead teams delivering mission-critical production services with high reliability and operational excellence.
- Experience working closely with operations teams on deployment monitoring and system reliability.
- Strong analytical and problem-solving skills with a track record of data-driven architectural decisions.
- BS or equivalent experience in Computer Science Data Engineering Machine Learning or a related field.
- Experience collaborating with ML researchers data scientists and product engineers on ML solutions.
- Expertise in data synthesis fine-tuning and data management for foundation models and LLMs including multimodal workflows.
- Knowledge of data privacy and differential privacy in AI/ML systems.
- Practical experience developing or partnering on production ML models.
- Demonstrated ability to influence and foster collaboration across large cross-functional teams.
- Experience in advertising technology recommendation systems or other applied ML domains.
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
