LLM Machine Learning Research Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 6 days ago
3-5 years
Seattle, Washington, United States
work from office

Posted: 6 days ago
|
Applicants: 149+
Job Description
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Job Description

We are looking for strong ML applied scientists and engineers to build groundbreaking AI infrastructure and algorithms. This infrastructure will power the optimization of Apple Foundation models, including on-device and server Apple Intelligence models. My team is directly responsible for general model capability, use-case-oriented post-training, and also the feature delivery for Apple Intelligence. You should be a strong scientist and/or engineer who has a background in building state-of-the-art LLMs. Your work will have a direct impact on billions of Apple clients. You will collaborate with world-class talent in LLM training, on-device and server optimization, ML tools/platforms, datasets, and evaluation. You will develop reliable and scalable pipelines and algorithms, such as:Model optimization pipelines, State-of-the-art optimization algorithms, State-of-the-art post-training techniques.
  • Experience developing, optimizing, or training large language models (LLMs), large foundation models, or generative AI models.
  • Software engineering skills in Python and general-purpose system administration and infrastructure management abilities.
  • History of applied research in the neural network model life cycle, training, or a related application area.
  • Experience with languages like Python, C/C++.
  • Track record of driving scientific investigations and experiments, and overcoming obstacles and uncertainty in a research environment.
  • BS degree and 3+ years of proven experience.
  • Publication record at top AI/ML venues.
  • Experience with LLM LoRA fine-tuning, neural network optimization (e.g., quantization, palettization).
  • Experience with LLM pre-training or post-training.

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  • Experience with on-device/server scale deployment.
  • Infrastructure management and debugging experience.
  • Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.
  • Strong communication and accountability skills; a hard-working, strong work ethic, and collaboration abilities.
  • Ph.D. in a related field.

Skills

AlgorithmsCPythonDebugging

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–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 August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑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. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

05 Apr 26, 02:49 PM IST

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LLM Machine Learning Research Engineer

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