Apple · 3 months ago
Sr. Machine Learning Engineering Manager – ML Data
New York City, New York, United States
Full-time
Onsite
Senior Level
$198K/yr - $343K/yr
6+ years expApple strives every day to create products that enrich people's lives. The Ads Machine Learning Platform team’s mission is to help Ads teams develop, deploy, and operate innovative AI/ML applications efficiently and at scale. We are looking for a strategic and collaborative technical leader to guide the development of the data foundations that power our AI/ML initiatives.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Lead the design and delivery of scalable data foundations that support AI/ML across Apple Ads
Build and operate platform services that span the full ML data lifecycle—from ingestion and transformation to training, evaluation, and production monitoring
Ensure systems are reliable, privacy-preserving, and built on high-quality data
Combine deep technical expertise in large-scale data architecture with the ability to develop a cohesive strategy for AI/ML infrastructure at enterprise scale
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
Qualification
Required
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
Preferred
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
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
Represents job field similar to this job
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