Senior Machine Learning Engineer - Ads ML Infrastructure

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
8-10 years
Cupertino, California, United States
work from office

Posted: 1 week ago
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Applicants: 149+
Job Description
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Job Description

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ad Platforms teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apples privacy commitments and change the way advertising works with data. Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each otherโ€™s growth and supporting each other in delivering for our customers!
  • 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.

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  • 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.
  • PhD, MS, or BS in computer science or a related field, with 8+ years of experience in machine learning and strong software engineering skills.

Skills

Distributed SystemsDeveloper

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valleyโ€“based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of Augustโ€ฏ2025, Apple ranks #3 globally by market capitalization (โ‰ˆโ€ฏUSโ€ฏ$3.4โ€ฏtrillion) and reported FYโ€ฏ2024 revenue of USโ€ฏ$391โ€ฏbillion. It remains the secondโ€‘largest smartphone maker and fourthโ€‘largest PC vendor worldwide, while expanding into AIโ€‘powered devices, sustainable technology solutions, and mixedโ€‘reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Appleโ€™s interview process in India is known for its rigor, cultural fit focus, and innovationโ€‘driven assessment โ€” attracting engineers, designers, and business talent passionate about shaping futureโ€‘ready technology.

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Important dates & deadlines?

Application Deadline

05 Apr 26, 02:49 PM IST

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Senior Machine Learning Engineer - Ads ML Infrastructure

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