315 jobs for "Machine Learning Researcher"

Machine Learning Researcher - Edge & Efficient AI

At Apple - Herzliya

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AIML - Machine Learning Researcher, DMLI- Image/Video Generation

At Apple - Santa Clara

Posted on Oct 15

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AIML - Machine Learning Researcher, Data and ML Innovation

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Postdoctoral Appointee - Machine Learning and Molecular Dynamics, Onsite

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2027 Machine Learning Center of Excellence - Time Series and Reinforcement Learning (TSRL) - Summer Associate

At JPMorgan Chase - New York

Posted on Oct 27

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Entry-Level - AI and Machine Learning for Automation Researcher

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Posted on Oct 12

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Sr. Director, Applied Researcher

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Manager, AI Research

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2027 Summer Intern - Research and Development - Machine Learning for Automation

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2027 Machine Learning Center of Excellence (Quant AI) - Summer Associate

At JPMorgan Chase - Palo Alto

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Entry-Level - AI/Machine Learning Researcher

At General Motors - Mountain View

Posted on Oct 12

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Research Machine Learning Scientist

At TD Bank - Toronto

Posted on Jun 4

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Technical Program Manager

At Leidos - Columbus

Posted on Sep 10

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Machine Learning Engineer Graduate (E-Commerce Recommendation Video) - 2027 Start

At TikTok - Seattle

Posted on Aug 27

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Principal Associate, Data Scientist - LLM Customization Team

At Capital One - New York · McLean

Posted on Jun 11

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Principal Data Scientist

At Warner Bros. Discovery - San Francisco

Posted on Aug 18

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Software Engineer Intern (TikTok AI Search & Visual Search Infra Team) - 2027 Summer

At TikTok - San Jose

Posted on Aug 22

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Technical Program Manager

At Leidos - Chantilly

Posted on Sep 10

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Software Engineer Graduate (TikTok AI Search & Visual Search Infra Team) - 2027 Start

At TikTok - San Jose

Posted on Aug 12

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Apple

Machine Learning Researcher - Edge & Efficient AI

Herzliya, IsraelPosted Oct 5, 2026

Apply on company site View full job

Join our team as a Machine Learning Engineer and help shape the future of on-device AI. You'll research, design, and deploy cutting-edge deep learning models optimized for Apple silicon edge devices, working across the full ML lifecycle alongside hardware, software, and product teams.

Description
We are looking for a talented and motivated Machine Learning Engineer to join our team. You will work within a collaborative, research-driven engineering culture that values innovation and rigor, with the opportunity to build impactful AI products deployed at scale on real devices. We offer competitive compensation, benefits, and opportunities for professional growth.","responsibilities":"Research and design state-of-the-art deep learning models optimized for resource-constrained Apple silicon edge devices
Drive projects across the full ML lifecycle, from ideation and experimentation to production deployment
Collaborate closely with cross-functional teams including hardware, software, and product
Continuously evaluate and adopt new techniques to improve model performance and efficiency on-device

Preferred Qualifications
Experience deploying models to embedded systems, mobile devices, or custom silicon (NPU/DSP)
Familiarity with hardware-aware neural architecture search (NAS) or AutoML techniques
Exposure to low-level optimization techniques such as mixed-precision training or operator fusion
Hands-on experience with Apple Neural Engine and Core ML for on-device inference
Publications or open-source contributions in efficient deep learning or edge AI
Experience with MLOps workflows and CI/CD pipelines for model development

Minimum Qualifications
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience
Strong foundation in deep learning theory and hands-on experience training models
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow/JAX
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion)
Hands-on experience with model compression and optimization techniques (quantization, pruning, distillation, etc.)
Familiarity with on-device inference frameworks such as Core ML, TensorFlow Lite, ONNX Runtime, or TensorRT
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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