Apple · 13 hours ago
Senior Machine Learning Engineer - Ads ML Infrastructure
New York, NY
Full-time
Onsite
Senior Level
$181K/yr - $318K/yrApple is a leading technology company focused on creating products that enrich people's lives. They are seeking a Senior Machine Learning Engineer to join their ML Platform team, where the main responsibilities include designing and developing scalable back-end systems for advertising platforms, while leveraging machine learning technologies to enhance user privacy and advertising effectiveness.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Proven track record of designing and operating large-scale, low-latency ML Serving platform supporting real-time and batch inference
Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies
Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns
Prior experience in advertising industry, federated learning and privacy-preserving ML techniques
Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing
Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices
Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management
Experience performance tuning & trouble-shooting
Pride in building tools to automate routine tasks, organized & detailed
Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
Results oriented with a desire to work in a fast-paced and collaborative work environment
Qualification
Required
Proven track record of designing and operating large-scale, low-latency ML Serving platform supporting real-time and batch inference
Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies
Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns
Prior experience in advertising industry, federated learning and privacy-preserving ML techniques
Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing
Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices
Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management
Experience performance tuning & trouble-shooting
Pride in building tools to automate routine tasks, organized & detailed
Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
Results oriented with a desire to work in a fast-paced and collaborative work environment
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.
Founded in 1976
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