355 jobs for "Applied AI Engineer"

AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

Posted on Oct 11

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AIML - Machine Learning Engineer, Visual Intelligence Technology

At Apple - Santa Clara

Posted on Oct 11

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Senior Principal Engineer, Enterprise Networking Architecture, Automation and AI

At Equinix - Remote / Flexible

Posted on Sep 16

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Senior Principal Engineer, Enterprise Networking Architecture, Automation and AI

At Equinix - Remote / Flexible

Posted on Sep 16

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Senior Principal Engineer, Enterprise Networking Architecture, Automation and AI

At Equinix - Remote / Flexible

Posted on Sep 16

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AIML - Machine Learning and Applied Research, Responsible AI and Safety

At Apple - Cupertino

Posted on Oct 12

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AIML - Machine Learning and Applied Research, Responsible AI and Safety

At Apple - Cupertino

Posted on Oct 12

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AIML - Machine Learning and Applied Research, Responsible AI and Safety

At Apple - Cupertino

Posted on May 28

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AIML - Machine Learning and Applied Research, Responsible AI and Safety

At Apple - Cupertino

Posted on May 28

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Staff Applied Research and ML , Responsible AI and Safety

At Apple - Cupertino

Posted on Oct 17

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Staff Applied Research and ML , Responsible AI and Safety

At Apple - Cupertino

Posted on Oct 17

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Innovation Engineer, Technical Strategy

At Northwestern Mutual – Corporate Careers - New York

Posted on Nov 5

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Machine Learning Engineer, Information Security

At Apple - Seattle

Posted on Oct 16

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Machine Learning Engineer, Information Security

At Apple - Seattle

Posted on Oct 16

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AIML - Senior Software Engineer, On-Device - PriML

At Apple - London

Posted on Oct 15

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Senior Robotics Algorithm Engineer

At Apple - Cupertino

Posted on Oct 14

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Prototyping Engineer

At Apple - Cupertino

Posted on Oct 12

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Sr. Machine Learning Research Engineer, Siri Speech

At Apple - Cupertino

Posted on Oct 6

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Machine Learning Engineer - Speech

At Apple - Herzliya

Posted on Oct 5

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Manager, Software Engineering, ITC

At Nike

Posted on Nov 3

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Apple

Machine Learning Engineer - Speech

Herzliya, IsraelPosted Oct 5, 2026

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Play a part in shaping the future of human-computer interaction. Contribute to products that are redefining mobile computing and creating breakthrough technologies in conversational AI, speech recognition, and natural language understanding and generation.

Description
We are seeking a passionate and experienced Machine Learning Engineer to join our team. In this role, you will push the boundaries of on-device speech recognition and NLP, working across the full stack - from data pipelines and model training to optimization for Apple silicon. You'll collaborate with world-class researchers and engineers to ship technology that reaches hundreds of millions of users, while upholding Apple's unwavering commitment to privacy.","responsibilities":"Work with unique, proprietary datasets - developing algorithms to process them and devising metrics to evaluate and improve quality
Design and implement machine learning models spanning speech recognition and NLP domains
Drive data quality insights and influence the design of our end-to-end system
Conduct both cutting-edge research and product-oriented development
Collaborate closely with researchers, engineers, and product teams to bring new capabilities to life

Preferred Qualifications
Ph.D. in Computer Science or a related field
Advanced background and hands-on experience in speech technology (e.g., ASR, TTS, speaker recognition)
Background in NLP, including language modeling, text processing, and linguistic understanding
Experience training large models using both supervised and self-supervised methods
Track record of shipping ML features in a production environment

Minimum Qualifications
M.Sc. in Computer Science or a related field, or equivalent practical experience
Deep understanding of Machine Learning fundamentals
Proficiency in Python and at least one deep learning framework (PyTorch, TensorFlow, or JAX)
3+ years of industry experience in deep learning through applied research roles
Hands-on experience with the full deep learning lifecycle at scale, including dataset curation, architecture design, distributed training, error analysis, and production deployment.
M.Sc. in Computer Science or a related field, or equivalent practical experience

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: Manufacturing

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